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José G. Dias is an Associate Professor at ISCTE in Lisbon. He holds a PhD degree in Economics from the University of Groningen, The Netherlands. His main research interests are connected with the application of data science (statistics, econometrics, machine learning) in social sciences. His research has been published in a variety of outlets, including: Journal of Business Research, PLoS ONE, European Journal of Finance, Social Indicators Research, European Journal of Operational Research, Expert Systems with Applications, Energy Economics, and Ecological Indicators.
Identificação

Identificação pessoal

Nome completo
José Manuel Gonçalves Dias

Nomes de citação

  • Dias, José G.

Identificadores de autor

Ciência ID
A012-C84D-5D16
Google Scholar ID
https://scholar.google.com/citations?hl=en&user=TSVeD4sAAAAJ&view_op=list_works&sortby=pubdate
Researcher Id
N-6217-2015

Websites

  • https://ciencia.iscte-iul.pt/authors/jose-g-dias/cv (Profissional)
  • http://scholar.google.com/citations?user=https://scholar.google.com/citations?hl=en&user=TSVeD4sAAAAJ&view_op=list_works&sortby=pubdate&hl=pt-PT (Académico)
  • http://www.researcherid.com/rid/N-6217-2015 (Académico)
Formação
Grau Classificação
2004/12/31
Concluído
 Economics (Doutoramento)
Universidade de Groningen, NL, Portugal
2002
Concluído
 Master in Population Studies (Mestrado)
Rijksuniversiteit Groningen, Países Baixos
"Finite mixture models with applications to demography" (TESE/DISSERTAÇÃO)
 Cum Laude
1998/12/31
Concluído
 Management Sciences (Mestrado)
ISCTE-Instituto Universitário de Lisboa, Portugal
1994/12/31
Concluído
 Management (Licenciatura)
ISCTE-Instituto Universitário de Lisboa, Portugal
Percurso profissional

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2010/09/10 - Atual Professor Associado (Docente Universitário) ISCTE-Instituto Universitário de Lisboa, Portugal
Projetos

Bolsa

Designação Financiadores
2009 - 2012/12/31 Measuring Household Wealth and Living Conditions in Less Developed Countries: a statistical exploration of data from the Demographic and Health Surveys
PTDC/CS-DEM/108033/2008
Investigador responsável
ISCTE-Instituto Universitário de Lisboa, Portugal

Projeto

Designação Financiadores
2010 - 2013/07/11 Developing and extending regime switching models in finance and accounting
103223
Investigador responsável
ISCTE-Instituto Universitário de Lisboa Unidade de Investigação em Desenvolvimento Empresarial, Portugal
 Fundação para a Ciência e a Tecnologia, I.P.
Concluído
2007 - 2011/06/30 Modeling socio-economic change using longitudinal data
72784
Investigador
ISCTE-Instituto Universitário de Lisboa Unidade de Investigação em Desenvolvimento Empresarial, Portugal
 Fundação para a Ciência e a Tecnologia, I.P.
Concluído
Produções

Publicações

Artigo em conferência
  1. Brito, MP; Duarte Silva, P.; Dias, J. G.. "Identifying special structures in interval-data via model-based clustering". Trabalho apresentado em Bulletin of the International Statistical Institute 59th World Statistics Congress Session Proceedings, 2013.
    Publicado
  2. Nogueira, D.; Reis, E.; Suleman, A.; Dias, J. G.; Borges, C.. "A new complexity measure to classify ambulatory patients in rehabilitation facilities for financing purposes". Trabalho apresentado em Bulletin of the International Statistical Institute 59th World Statistics Congress Session Proceedings, 2013.
    Publicado
  3. Brito, MP; Duarte Silva, P.; Dias, J. G.. "Multivariate parametric analysis of interval data". Trabalho apresentado em Advances in Latent Variables, 2013.
    Publicado
  4. João Paixão; Carmen Helena Caldeira de Freitas Lages; Dias, J. G.. "Foreign Branding Influence on Product Origin Perception". Trabalho apresentado em CD Rom Proceedings 40th European Marketing Academy (EMAC) Conference, 2011.
    Publicado
  5. Bassi, F; Dias, J. G.. "Longitudinal patterns of financial product ownership: A latent growth mixture approach". Trabalho apresentado em Proceedings of the 7th Conference on Statistical Computation and Complex Systems, September 19 ? 21, 2011.
    Publicado
  6. Pontes, L.; Sabu S. Padmadas; Dias, J. G.. "Impact of Poverty on Womens Nutritional Status in India. Application of Finite Mixture Models". Trabalho apresentado em Cameron, M., S. R. Costa Lopes (eds.), Bulletin of the International Statistical Institute 58th Session Proceedings, 2011.
    Publicado
  7. Oliveira, I.; Sabu S. Padmadas; Dias, J. G.. "Modelling the Impact of Poverty on Contraceptive Choices in Indian States: A Multilevel Analysis". Trabalho apresentado em Cameron, M., S. R. Costa Lopes (eds.), Bulletin of the International Statistical Institute 58th Session Proceedings, 2011.
    Publicado
  8. Dias, J. G.. "Modeling Demographic and Health Survey (DHS) data by latent class models: An application". Trabalho apresentado em Advances in Mathematical and Computational Methods, 2010.
    Publicado
  9. Trindade, G.; Hill, M.; Dias, J. G.. "Store-level latent segmentation models: A case study". Trabalho apresentado em Advances in Mathematical and Computational Methods, 2010.
    Publicado
  10. Dias, J. G.. "Is European economic growth heterogeneous across countries? A latent Markov analysis". Trabalho apresentado em Anales de Economía Aplicada / Anais de Economia Aplicada 2009, 2009.
    Publicado
  11. Dias, J. G.. "Breast cancer diagnostic typologies by Grade-of-Membership fuzzy modeling". Trabalho apresentado em 2nd WSEAS International Conference on Multivariate Analysis and its Application in Science and Engineering (MAASE '09), istambul, 2009.
    Publicado
  12. Ramos, S.; Dias, J. G.; Vermunt, J.K.,. "Heterogeneous hidden markov models". Trabalho apresentado em Compustat 2008, 2008.
    Publicado
  13. Cortinhal, M.J.; Dias, J. G.. "An EM-based algorithm for Web mining massive data sets". Trabalho apresentado em Operations Research Proceedings 2008, Alemanha, 2008.
    Publicado • 10.1007/978-3-642-00142-0
Artigo em revista
  1. Correia, Ricardo Jorge; Teixeira, Mário Sérgio; Dias, José G.. "Dynamic capabilities: antecedents and implications for firms' performance". International Journal of Productivity and Performance Management (2021): http://dx.doi.org/10.1108/ijppm-12-2019-0587.
    10.1108/ijppm-12-2019-0587
  2. Gonçalves, Tânia; Teixeira, Mário Sérgio; Dias, José G.; Gouveia, Sofia; Correia, Ricardo Jorge. "Commitment to exporting as an antecedent of organizational skills and firm performance". Journal of Business Economics 91 7 (2021): 1063-1084. http://dx.doi.org/10.1007/s11573-021-01028-x.
    10.1007/s11573-021-01028-x
  3. Silva, A.,Pedro,Duarte; Brito, Paula; Filzmoser, Peter; Dias, José,G.. "MAINT.Data: Modelling and Analysing Interval Data in R". The R Journal 13 2 (2021): 266. http://dx.doi.org/10.32614/rj-2021-074.
    10.32614/rj-2021-074
  4. Correia, Ricardo Jorge; Dias, José G.; Teixeira, Mário Sérgio. "Dynamic capabilities and competitive advantages as mediator variables between market orientation and business performance". Journal of Strategy and Management 14 2 (2020): 187-206. http://dx.doi.org/10.1108/jsma-12-2019-0223.
    10.1108/jsma-12-2019-0223
  5. Campos, Susana; Dias, José G.; Teixeira, Mário Sérgio; Correia, Ricardo Jorge. "The link between intellectual capital and business performance: a mediation chain approach". Journal of Intellectual Capital 23 2 (2020): 401-419. http://dx.doi.org/10.1108/jic-12-2019-0302.
    10.1108/jic-12-2019-0302
  6. Witulski, Nikolai; Dias, José G.. "The Sustainable Society Index: Its reliability and validity". Ecological Indicators 114 (2020): 106190. http://dx.doi.org/10.1016/j.ecolind.2020.106190.
    10.1016/j.ecolind.2020.106190
  7. Bassi, Francesca; Dias, José G.. "Sustainable development of small- and medium-sized enterprises in the European Union: A taxonomy of circular economy practices". Business Strategy and the Environment 29 6 (2020): 2528-2541. http://dx.doi.org/10.1002/bse.2518.
    10.1002/bse.2518
  8. Guerra, M.; Bassi, F.; Dias, J. G.. "A multiple-indicator latent growth mixture model to track courses with low-quality teaching". Social Indicators Research 147 2 (2019): 361-381. https://link.springer.com/article/10.1007%2Fs11205-019-02169-x#rightslink.
    Publicado • 10.1007/s11205-019-02169-x
  9. Bassi, F.; Dias, J. G.. "The use of circular economy practices in SMEs across the EU". Resources, Conservation and Recycling 146 (2019): 523-533. https://www.sciencedirect.com/science/article/pii/S0921344919301259?via%3Dihub.
    Publicado • 10.1016/j.resconrec.2019.03.019
  10. Dias, J. G.; de Oliveira, I. T.. "Exploring unobserved household living conditions in multilevel choice modeling: an application to contraceptive adoption by Indian women". PLoS One 13 1 (2018): http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0191784.
    Publicado • 10.1371/journal.pone.0191784
  11. Caetano, A. J.; Dias, J. G.. "Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectives". Social Indicators Research 139 1 (2018): 119-146. https://link.springer.com/article/10.1007%2Fs11205-017-1710-5.
    Publicado • 10.1007/s11205-017-1710-5
  12. Dias, J. A.; Dias, J. G.; Lages, C.. "Can negative characters in soap operas be positive for product placement?". Journal of Business Research 71 (2017): 125-132. http://www.sciencedirect.com/science/article/pii/S0148296316305872.
    Publicado • 10.1016/j.jbusres.2016.10.010
  13. Pereira, M.; Ramos, S. B.; Dias, J. G.. "The cyclical behaviour of commodities". European Journal of Finance 23 12 (2017): 1107-1128. http://www.tandfonline.com/doi/full/10.1080/1351847X.2016.1205505.
    Publicado • 10.1080/1351847X.2016.1205505
  14. Dias, J. G.. "Environmental sustainability measurement in the Travel and Tourism Competitiveness Index: an empirical analysis of its reliability". Ecological Indicators 73 (2017): 589-596. http://www.sciencedirect.com/science/article/pii/S1470160X16305945.
    Publicado • 10.1016/j.ecolind.2016.10.008
  15. Trindade, G.; Dias, J. G.; Ambrósio, J.. "Extracting clusters from aggregate panel data: a market segmentation study". Applied Mathematics and Computation 296 (2017): 277-288. http://www.sciencedirect.com/science/article/pii/S0096300316306105.
    Publicado • 10.1016/j.amc.2016.10.012
  16. Isidro, H.; Dias, J. G.. "Earnings quality and the heterogeneous relation between earnings and stock returns". Review of Quantitative Finance and Accounting 49 4 (2017): 1143-1165. https://link.springer.com/article/10.1007%2Fs11156-017-0619-z.
    Publicado • 10.1007/s11156-017-0619-z
  17. Bhimjee, D.; Ramos, S.; Dias, J. G.. "Banking industry performance in the wake of the global financial crisis". International Review of Financial Analysis 48 (2016): 376-387. http://www.sciencedirect.com/science/article/pii/S1057521916000065.
    Publicado • 10.1016/j.irfa.2016.01.005
  18. Dias, J. G.; Trindade, G.. "The Europeans' expectations of competition effects in passenger rail transport: a cross-national multilevel analysis". Social Indicators Research 129 3 (2016): 1383-1399. http://link.springer.com/article/10.1007/s11205-015-1168-2.
    Publicado • 10.1007/s11205-015-1168-2
  19. Dias, J. G.; Ramos, S.. "An analysis of industry regimes synchronization in the eurozone". JCMS: Journal of Common Market Studies 53 2 (2015): 255-273. http://onlinelibrary.wiley.com/doi/10.1111/jcms.12197/abstract.
    Publicado • 10.1111/jcms.12197
  20. Alves, B. C.; Dias, J. G.. "Survival mixture models in behavioral scoring". Expert Systems with Applications 42 8 (2015): 3902-3910. http://www.sciencedirect.com/science/article/pii/S095741741400815X.
    Publicado • 10.1016/j.eswa.2014.12.036
  21. Dias, J. G.; Vermunt, J. K. ; Ramos, S.. "Clustering financial time series: new insights from an extended hidden Markov model". European Journal of Operational Research 243 3 (2015): 852-864. http://www.sciencedirect.com/science/article/pii/S0377221714010595#.
    Publicado • 10.1016/j.ejor.2014.12.041
  22. Gomes, A.; Dias, J. G.. "Improving the selection of pilot air force candidates using latent trajectories: an application of latent growth mixture modeling". International Journal of Aviation Psychology 25 2 (2015): 108-121. http://www.tandfonline.com/doi/abs/10.1080/10508414.2015.1130489.
    Publicado • 10.1080/10508414.2015.1130489
  23. Dias, J. G.; Oliveira, I.. "Multilevel effects of wealth on women's contraceptive use in Mozambique". PLoS One 10 3 (2015): http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0121758.
    Publicado • 10.1371/journal.pone.0121758
  24. Costa, L. P.; Dias, J. G.. "What do europeans believe to be the causes of poverty? A multilevel analysis of heterogeneity within and between countries". Social Indicators Research 122 1 (2015): 1-20. http://link.springer.com/article/10.1007%2Fs11205-014-0672-0.
    Publicado • 10.1007/s11205-014-0672-0
  25. Brito, P.; Silva, A. P. D.; Dias, J. G.. "Probabilistic clustering of interval data". Intelligent Data Analysis 19 2 (2015): 293-313. http://iospress.metapress.com/content/1088-467X/.
    Publicado • 10.3233/IDA-150718
  26. Costa, L. P.; Dias, J. G.. "Perceptions of poverty attributions in Europe: a multilevel mixture model approach". Quality and Quantity 48 3 (2014): 1409-1419. http://link.springer.com/journal/11135/48/3/page/1.
    Publicado • 10.1007/s11135-013-9843-3
  27. Dias, J. G.; Ramos, S.. "Energy price dynamics in the U.S. market. Insights from a heterogeneous multi-regime framework". Energy 68 (2014): 327-336. http://www.sciencedirect.com/science/article/pii/S0360544214000991.
    Publicado • 10.1016/j.energy.2014.01.077
  28. Oliveira, I. T.; Dias, J. G.; Padmadas, S. S.. "Dominance of sterilization and alternative choices of contraception in India: an appraisal of the socioeconomic impact". PLoS One 9 1 (2014): https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0086654.
    Publicado • 10.1371/journal.pone.0086654
  29. Oliveira, I.; Dias, J. G.. "Disentangling the relation between wealth and contraceptive use in India: a multilevel probit regression approach". Quality and Quantity 48 2 (2014): 1001-1012.
    Publicado • 10.1007/s11135-012-9820-2
  30. Dias, J. G.; Ramos, S.. "The aftermath of the subprime crisis a clustering analysis of world banking sector". Review of Quantitative Finance and Accounting 42 2 (2014): 293-308.
    Publicado • 10.1007/s11156-013-0342-3
  31. De Angelis, L.; Dias, J. G.. "Mining categorical sequences from data using a hybrid clustering method". European Journal of Operational Research 234 3 (2014): 720-730. http://www.sciencedirect.com/science/article/pii/S0377221713009016.
    Publicado • 10.1016/j.ejor.2013.11.002
  32. Dias, J. G.; Ramos, S.. "Heterogeneous price dynamics in US regional electricity markets". Energy Economics 46 (2014): 453-463. http://www.sciencedirect.com/science/article/pii/S0140988314001200.
    Publicado • 10.1016/j.eneco.2014.05.012
  33. Matos, A. L.; Moleiro, C.; Dias, J. G.. "Clusters of abusive parenting: a latent class analysis of families referred to Child Protective Services in Portugal". Child Abuse and Neglect 38 12 (2014): 2053-2061. http://www.sciencedirect.com/science/article/pii/S0145213414003512?np=y.
    Publicado • 10.1016/j.chiabu.2014.10.018
  34. Dias, J. G.; Ramos, S.. "Dynamic clustering of energy markets: an extended hidden Markov approach". Expert Systems with Applications 41 17 (2014): 7722-7729. http://www.sciencedirect.com/science/article/pii/S0957417414003108.
    Publicado • 10.1016/j.eswa.2014.05.030
  35. Dias, J. G.; Ramos, S. B.. "A core–periphery framework in stock markets of the euro zone". Economic Modelling 35 (2013): 320-329.
    Publicado • 10.1016/j.econmod.2013.07.013
  36. Bassi, F.; Dias, J. G.. "Longitudinal patterns of financial product ownership: a latent growth approach". Quaderni di Statistica 12 (2012): 21-24.
    Publicado
  37. Ramos, S.; Vermunt, J. K.; Dias, J. G.. "When markets fall down: are emerging markets all the same?". International Journal of Finance and Economics 16 4 (2011): 324-338. http://onlinelibrary.wiley.com/doi/10.1002/ijfe.431/abstract.
    Publicado • 10.1002/ijfe.431
  38. Trindade, G.; Hill, M. M.; Dias, J. G.. "Market segmentation at store-level: the impact of product aggregation on unobserved heterogeneity recovery". Portuguese Journal of Quantitative Methods 2 1 (2011): 23-32. http://www.silabo.pt/livros.asp?num=437.
    Publicado
  39. Susana, T.; Cardoso, M.; Dias, J. G.. "The heterogeneous best-worst choice method in market research". International Journal of Market Research 52 4 (2010): 533-546.
    Publicado • 10.2501/S1470785309201430
  40. Dias, J. G.; Vermunt, J. K.. "A bootstrap-based aggregate classifier for model-based clustering". Computational Statistics 23 4 (2008): 643-659. https://link.springer.com/article/10.1007%2Fs00180-007-0103-7.
    Publicado • 10.1007/s00180-007-0103-7
  41. Dias, J. G.; Vermunt, J. K.. "Latent class modeling of website users' search patterns. Implications for online market segmentation". Journal of Retailing and Consumer Services 14 6 (2007): 359-368. http://www.sciencedirect.com/science/article/pii/S0969698907000203?via%3Dihub.
    Publicado • 10.1016/j.jretconser.2007.02.007
  42. Padmadas, S. S.; Dias, J. G.; Willekens, F. J.. "Disentangling women’s responses on complex dietary intake patterns from an Indian cross-sectional survey: a latent class analysis". Public Health Nutrition 9 2 (2006): 204-211. https://www.cambridge.org/core/journals/public-health-nutrition/article/disentangling-womens-responses-on-complex-dietary-intake-patterns-from-an-indian-crosssectional-survey-a-latent-class-analysis/20D788F52EBE2AFB7C7E7EC53F509EFB.
    Publicado • 10.1079/PHN2005842
  43. Dias, J. G.; Willekens, F.. "Model-based clustering of sequential data with an application to contraceptive use dynamics". Mathematical Population Studies 12 3 (2005): 135-157. http://www.tandfonline.com/doi/abs/10.1080/08898480591005168.
    Publicado • 10.1080/08898480591005168
  44. Dias, J. G.; Wedel, M.. "An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods". Statistics and Computing 14 4 (2004): 323-332. https://link.springer.com/article/10.1023/B:STCO.0000039481.32211.5a.
    Publicado • 10.1023/B:STCO.0000039481.32211.5a
Capítulo de livro
  1. Dias, J. G.. "Understanding latent class model selection criteria by latent class modeling". In Advances in latent class analysis: A Festschrift in honor of C. Mitchell Dayton, editado por Gregory R. Hancock; Jeffrey R. Harring; George B. Macready. Charlotte, Estados Unidos: Information Age Publishing, 2019.
    Publicado
  2. Dias, J. G.; Ramos, S.. "An overview of electricity price regimes in the U.S. wholesale markets". In The Interrelationship Between Financial and Energy Markets, 215-232. --, Alemanha, 2014.
    Publicado • 10.1007/978-3-642-55382-0_9
  3. Pontes, L.; Dias, J. G.. "Disentangling the relationship between entrepreneurship and job creation by Poisson mixture regressions". In Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications, editado por Lita da Silva; J.; Caeiro; F.; Natário; I.; Braumann; C.A., 371-380. Springer, 2013.
    Publicado • 10.1007/978-3-642-34904-1_39
  4. Ferrão, M.E.; Dias, J. G.. "Concomitant latent class models applied to mathematics education". In Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications, editado por Lita da Silva; J.; Caeiro; F.; Natário; I.; Braumann; C.A., 147-153. Springer, 2013.
    Publicado • 10.1007/978-3-642-34904-1_15
  5. Bassi, F.; Dias, J. G.. "Longitudinal Patterns of Financial Product Ownership: A Latent Growth Mixture Approach". In Complex Models and Computational Methods in Statistics, 27-36. Physica-Springer, 2013.
    Publicado • 10.1007/978-88-470-2871-5-3
  6. Serra, P.; Dias, J. G.; Salgueiro, M.F.. "Life satisfaction: A MIMIC approach with a discrete latent variable". In Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications,, editado por Lita da Silva; J.; Caeiro; F.; Natário; I.; Braumann; C.A., 437-444. Springer, 2013.
    Publicado • 10.1007/978-3-642-34904-1_46
  7. Dias, J. G.. "Latent class models of time series data: An entropic-based uncertainty measure". In Algorithms from and for Nature and Life, editado por Lausen; B.; van den Poel; D.; Ultsch; A. (Eds.), 205-214. Springer, 2013.
    Publicado • 10.1007/978-3-319-00035-0_20
  8. Dias, J. G.. "Model-based clustering of multistate data with latent change. An application with DHS data". In Classification and Data Mining, editado por Giusti; A.; Ritter; G.; Vichi; M. (Eds.), 189-196. Springer, 2013.
    Publicado • 10.1007/978-3-642-28894-4_23
  9. Ramos, S.; Dias, J. G.; Vermunt, J.K.,. "Mixture Hidden Markov Models in Finance Research". In , Advances in Data Analysis, Data Handling and Business intelligence, 451-459. Springer, 2010.
    Publicado • 10.1007/978-3-642-01044-6
  10. Tavares, S.; Cardoso, M.; Dias, J. G.. "Best-Worst: Uma metodologia na avaliação da importância de atributos". In Temas em Métodos em Métodos Quantitativos VI., 0-0. 2009.
    Publicado
  11. Dias, J. G.; Cortinhal, M.J.. "The SKM algorithm: A K-means algorithm for clustering sequential data". In Advances in Artificial Intelligence IBERAMIA 2008, 173-182. 2009.
    Publicado
Poster em conferência
  1. Witulski, N.; Dias, J. G.. "Assessment of sustainable development over time in OECD and BRICKS". Trabalho apresentado em XXIII Jornadas de Classificação e Análise de Dados, 2016.

Outros

Outra produção
  1. Improving the Selection of Military Pilot Candidates Using Latent Trajectories: An Application of Latent Growth Mixture Modeling. 15th Biennial ERGOMAS. 2019. Gomes, A.P.; Dias, J. G..
  2. Multiple-valued symbolic data clustering using regression mixtures of Dirichlet distributions. 16th Conference of the International Federation of Classification Societies. 2019. Dias, J. G..
  3. Perception of business corruption in EU28: A multilevel application. joclad2019. 2019. Dias, J. G..
  4. Multiple-valued symbolic data clustering: a model-based approach. joclad2019. 2019. Dias, J. G..
  5. Internet usage patterns: Segmentation of European users using a multilevel latent class model. joclad2019. 2019. Gomes, A.P.; Dias, J. G..
  6. Product placement versus advertising - an empirical study about their impact on website traffic. ICCMI2018 - 6th International Conference on Contemporary Marketing Issues. 2018. Dias, J.A.; Dias, J. G..
  7. Business perceptions of corruption in Europe: A multilevel analysis. Computational and Methodological Statistics (CMStatistics 2018). 2018. Witulski, N.; Dias, J. G..
  8. Internet use in the European Union: A multilevel latent class analysis. VIII European Congress of Methodology. 2018. Gomes, A.; Dias, J. G..
  9. Patterns of adoption of circular economy in Europe. ISBIS 2018 – International Symposium on Business and Industrial Statistics,. 2018. Bassi, F.; Dias, J. G..
  10. Multiple-valued symbolic data clustering: A model-based approach. Computational and Methodological Statistics (CMStatistics 2018). 2018. Dias, J. G..
  11. Country-level population structures. Insights from symbolic data clustering. Workshop on Computational Data Analysis and Numerical Methods (V WCDANM). 2018. Dias, J. G..
  12. The cyclical behavior of cryptoassets. I Workshop on FinTech and Cryptofinance. 2018. Buchwalter, B.; Dias, J. G.; Ramos, S..
  13. Multiple-Valued Symbolic Data Clustering: A Model-Based Approach. SDA 2018 - Symbolic Data Analysis Workshop. 2018. Dias, J. G..
  14. University-Industry Interaction: a taxonomy of its interface structures. Technology Transfer Society. 2018. Telmo Santos; Mendonça, S.; Dias, J. G..
  15. Multilevel typologies: Classic and symbolic data approaches. XXV Jornadas de Classificação e Análise de Dados. 2018. Dias, J. G..
  16. Multiple-valued symbolic data clustering: Heuristic and model-based approaches. Seminário de Probabilidades e Estatística (IST, UL). 2018. Dias, J. G..
  17. Network structure and dynamics of European stock markets. EURO2018 - 29th European Conference on Operational Research. 2018. Dias, J. G..
  18. Corruption attitudes in the European Union: A comparative study. XXV Jornadas de Classificação e Análise de Dados. 2018. Witulski, N.; Dias, J. G..
  19. Internet use in the European Union: A multilevel latent class analysis. XXV Jornadas de Classificação e Análise de Dados. 2018. Gomes, A. ; Dias, J. G..
  20. Three or Four Pillars of Sustainability? An Empirical Analysis. SIBR Conference on Interdisciplinary Business & Economic Research. 2017. Witulski, N.; Roseta-Palma, C.; Dias, J. G..
  21. Multilevel typologies. Classic and symbolic data approaches. ECDA2017 – European Conference on Data Analysis. 2017. Dias, J. G..
  22. Firms’ E-commerce adoption in Europe: A multilevel approach. XXIV Jornadas de Classificação e Análise de Dados. 2017. Gabriel, P.; Dias, J. G..
  23. Relationship between sustainability and competitiveness of nations: a macro level analysis. XXIV Jornadas de Classificação e Análise de Dados. 2017. Witulski, N.; Dias, J. G.; Roseta-Palma, C..
  24. Multilevel typologies. Classic and symbolic data approaches. Statistische Woche 2017. 2017. Dias, J. G..
  25. Students’ satisfaction in higher education: how to identify courses with low-quality. CLADAG 2017 - 11th Scientific Meeting of the CLAssification and Data Analysis Group of the Italian Statistical Society (SIS). 2017. Guerra, M.; Bassi, F.; Dias, J. G..
  26. Hidden Markov models applied to technical analysis data. Quantitative Finance, Risk Analysis Symposium. 2017. Dias, J. G..
  27. Multilevel typologies. Classic and symbolic data approaches. IFCS2017 – Conference of the International Federation of Classification Societies. 2017. Dias, J. G..
  28. Hidden Markov models applied to technical analysis data. XXIV Jornadas de Classificação e Análise de Dados. 2017. Dias, J. G..
  29. GDP per capita dynamics in the European Union. XXIII Jornadas de Classificação e Análise de Dados. 2016. Dias, J. G..
  30. Delayed Childbearing, Age-Related Infertility and Assisted Reproduction Technology: Latent Class Analysis Application to Brazil, 2010. VII ALAP Congreso de la Asociación Lationoamericana de Población. 2016. Caetano, A.; Dias, J. G..
  31. Assessment of sustainable development over time in OECD and BRICKS. XXIII Jornadas de Classificação e Análise de Dados. 2016. Dias, J. G..
  32. Cluster-based conjoint models: An application to professional services Marketing. XXIII Jornadas de Classificação e Análise de Dados. 2016. Dias, J. G..
  33. Spatial data analysis: A comparison of ICM algorithms. XXIII Jornadas de Classificação e Análise de Dados. 2016. Dias, J. G..
  34. Determinants of firm performance: a structural equation approach. XXII Jornadas de Classificação e Análise de Dados. 2015. Correia, R.; Dias, J. G.; Teixeira, M..
  35. Financial technical analysis using hidden Markov models. IFCS 2015 – Conference of the International Federation of Classification Societies. 2015. Dias, J. G..
  36. Uncertainty analysis in conjoint studies. XXII Jornadas de Classificação e Análise de Dados. 2015. Dias, J. G..
  37. Banking responses in the wake of the global financial crisis. Econometric Methods for Banking and Finance. 2014. DIPTES BHIMJEE; Ramos, S.; Dias, J. G..
  38. Modern women contraception in Mozambique: unmixing contextual and individual wealth effects. XIX Encontro Nacional de Estudos Populacionais. 2014. Dias, J. G.; Oliveira, I..
  39. Banking responses in the wake of the global financial crisis. XXII Finance Forum. 2014. DIPTES BHIMJEE; Ramos, S.; Dias, J. G..
  40. The cyclical behavior of commodities and their investment benefits. Portuguese Finance Network Conference. 2014. Marcelo Pereira; Ramos, S.; Dias, J. G..
  41. Direct and Indirect Effects of Parasocial Relationship in Product Placement. ICCMI 2014 – 2nd International Conference on Contemporary Marteking Issues. 2014. Dias, J.A.; Dias, J. G..
  42. Banking responses in the wake of the global financial crisis. 12th INFINITI Conference on International Finance. 2014. Bhimjee, D; Ramos, S.; Dias, J. G..
  43. Explaining contraceptive use by the wealth index in India: A latent variable approach. Jornadas de Classificação e Análise de Dados 2014 (JOCLAD 2014). 2014. Dias, J. G.; Oliveira, I..
  44. The impact of population heterogeneity on factor analysis estimation. XXI Jornadas de Classificação e Análise de Dados (JOCLAD2014). 2014. Marques, C.; Dias, J. G.. https://sites.google.com/site/joclad2014/programa-detalhado.
  45. Clustering European industries using longitudinal data. XXI Jornadas de Classificação e Análise de Dados. 2014. Dias, J. G.; Ramos, S..
  46. Innovation modes and firm’s performance: Evidence from Portugal. 53rd ERSA Congress. 2013. Nunes, S.; Lopes, R.; Dias, J. G..
  47. Exploring unobserved heterogeneity in Factor Analysis. XX Jornadas de Classificação e Análise de Dados (JOCLAD2013). 2013. Marques, C.; Dias, J. G.. http://w3.math.uminho.pt/joclad2013/.
  48. Regime dynamics of Euro area industries. XX Jornadas de Classificação e Análise de Dados. 2013. Dias, J. G.; Ramos, S..
  49. A new complexity measure to classify ambulatory patients in rehabilitation facilities for financing purposes. International Statistical Institute 59th World Statistics Congress. 2013. Nogueira, D.; Reis, E.; Suleman, A.; Dias, J. G.; Borges, C..
  50. Modeling stock market regime-switching dynamics with internet search query data. Emerging Applications in Portfolio Selection and Management Science - Portfolio Selection (Invited session), 26th European Conference on Operational Research. 2013. Kristen, O.; Dias, J. G.; Ramos, S..
  51. “Villains or Heroes”: An experimental study of product placement with negative and positive television characters. EMAC 2013 European Marketing Academy 42nd Annual Conference. 2013. Dias, J.A.; Dias, J. G.; Lages, C..
  52. Hierarchical market structure of Euro area regime dynamics. CLADAG 2013. 2013. Dias, J. G.; Ramos, S..
  53. The regime dynamics of industries in the Euro area: a euro effect?. Annual Meeting of the Austrian Economic Association. 2013. Dias, J. G.; Ramos, S..
  54. Identifying special structures in interval-data via model-based clustering. International Statistical Institute 59th World Statistics Congress. 2013. Brito, MP; Duarte Silva, P.; Dias, J. G..
  55. Multivariate parametric analysis of interval data. Specialized Session, SIS 2013 Statistical Conference. 2013. Brito, MP; Duarte Silva, P.; Dias, J. G..
  56. Optimal strategies in identifying working risk factors. 26th EURO-INFORMS Conference. 2013. Marques, C.; Dias, J. G.. http://euro2013.org/.
  57. Modern contraception use in Africa: the case of Mozambique. XX Jornadas de Classificação e Análise de Dados. 2013. Oliveira, I.; Dias, J. G..
  58. Regime dynamics of euro area industries. Emerging Applications of Finance in Economics and Environment I (Invited session), 26th European Conference on Operational Research. 2013. Dias, J. G.; Ramos, S..
  59. Finite mixture models and extensions. One Day Meeting on Statistics and Applications. 2013. Dias, J. G..
  60. Sterilization dominance and alternative contraceptive choices in India: an appraisal of the social and economic impact. European Population Conference 2012. 2012. Oliveira, I.; Dias, J. G.; Padmadas, S.S..
  61. Regime switching GARCH-based clustering of financial time series. CFE 2012 ? Computational and Financial Econometrics. 2012. Dias, J. G.; Ramos, S..
  62. Longitudinal patterns of financial product ownership: a latent growth approach. MBC2 ? An International Workshop on Model-Based Clustering and Classification. 2012. Bassi, F.; Dias, J. G..
  63. Regime switching GARCH-based clustering of financial time series. MBC2 ? An International Workshop on Model-Based Clustering and Classification. 2012. Dias, J. G.; Ramos, S..
  64. Wealth and contraceptive use in India: a multilevel probit approach. Statistische Woche 2012. 2012. Dias, J. G.; Oliveira, I..
  65. Item response mixture modeling in military psychological assessment. Joint Meeting of y-BIS and jSPE. 2012. Gomes, A.P.; Dias, J. G..
  66. Longitudinal patterns of financial product ownership: a latent growth mixture approach. 46th Scientific Meeting of the Italian Statistical Society. 2012. Bassi, F.; Dias, J. G..
  67. Item response mixture modeling in the context of military selection. V European Congresso Methodology. 2012. Gomes, A.P.; Dias, J. G..
  68. Analysing food intake patterns in India. XIX Jornadas de Classificação e Análise de Dados. 2012. Dias, J. G..
  69. Time series synchronization: An application to energy markets. XIX Jornadas de Classificação e Análise de Dados. 2012. Dias, J. G.; Ramos, S..
  70. When bad guys are good to brands: An experimental study of product placement with negative and positive television characters. Macrotheme Conference. 2012. Dias, J.A.; Dias, J. G.; Lages, C..
  71. Dynamic mixture analysis of energy markets synchronization. Twenty-first International Conference on Interdisciplinary Mathematics, Statistics and Computational Techniques (IMSCT 2012-FIM XXI). 2012. Dias, J. G.; Ramos, S..
  72. Longitudinal patterns of financial product ownership: a latent growth approach. International Conference on Methods and Models for Latent Variables. 2012. Bassi, F.; Dias, J. G..
  73. Foreign branding influence on product origin perception. EMAC 2011 Conference. 2011. Carmen Helena Caldeira de Freitas Lages; Paixão, J.P; Dias, J. G..
  74. Non-synchronicity in Energy Price Cycles. Energy & Finance Conference 2011. 2011. Dias, J. G.; Ramos, S..
  75. Latent variable modeling of household wealth heterogeneity. Departamento de Estatística, Universidade de Pádua,. 2011. Dias, J. G..
  76. Robust network analysis of European stock markets. Optimization 2011. 2011. Dias, J. G.; Sofia Correia Brito Ramos.
  77. Data mining categorical time series using a hybrid clustering method. 42nd Annual Conference of the Italian Operational Research Society Conference. 2011. De Angelis, L; Dias, J. G..
  78. A multilevel analysis of the students' success in a 1st year of an Engineering course: A case study. First Lisbon Research Workshop on Economics and Econometrics of Education, ISEG. 2011. Patrocínio, C; Dias, J. G.; E. Pereira.
  79. Analyzing experimental market research data by multilevel latent class models. Departamento de Estatística, Universidade de Bolonha. 2011. Dias, J. G..
  80. Assessing the poverty impact on women's health in India: A multilevel analysis, Session II. Inequalities in maternal and child health, International Research Seminar on Understanding Health Inequalities in India & Brazil: Measurement, Evidence & Policy, Institute for Social & Economic Change. 2011. Dias, J. G.; Sabu S. Padmadas.
  81. Identifying household wealth heterogeneity in India. A multilevel latent class approach. XVIII Jornadas de Classificação e Análise de Dados, Vila Real. 2011. Dias, J. G..
  82. Heterogeneous banking responses in the wake of the global financial crisis of 2007 2008. IFABS2011 - International Finance and Banking Society Meeting. 2011. Bhimjee, D; Sofia Correia Brito Ramos; Dias, J. G..
  83. Impact of poverty on women's nutritional status in India. Application of finite mixture models. Special Topic Session (STS67) ? Statistical Validation and Application of Socioeconomic Data from Household Surveys in Less Developed Countries. 2011. Pontes, L.; Sabu S. Padmadas; Dias, J. G..
  84. Non-synchronicity in energy price cycles. ISCTE Business School Annual Finance Conference on Commodities & Energy Markets. 2011. Dias, J. G.; Sofia Correia Brito Ramos.
  85. The dynamics of stock market cycles in the Euro zone. FMA European Conference. 2011. Dias, J. G.; Sofia Correia Brito Ramos.
  86. Latent class modeling of time series data. International Federation of Classification Societies Conference. 2011. Dias, J. G..
  87. Robust network analysis of European stock markets. AIRO 2011 ? 42nd Annual Conference of the Italian Operational Research Society Conference. 2011. Dias, J. G.; Sofia Correia Brito Ramos.
  88. Longitudinal patterns of financial product ownership: A latent growth mixture approach. 7th Conference on Statistical Computation and Complex Systems. 2011. Bassi, F; Dias, J. G..
  89. Modelling the impact of poverty on contraceptive choices in Indian states: a multilevel analysis. Special Topic Session (STS67) ? Statistical Validation and Application of Socioeconomic Data from Household Surveys in Less Developed Countries. 2011. Oliveira, I.; Sabu S. Padmadas; Dias, J. G..
  90. Analyzing experimental market research data by multilevel latent class models. Statistical models for marketing research do ISI 2011, invited to Special Topic Session (STS33). 2011. Dias, J. G..
  91. Clustering time series by hybrid methods. GfKl2010 ? Conferência Anual da Sociedade Alemã de Classificação. 2010. Dias, J. G..
  92. Geo-spatial data mining by model-based clustering methods. EURO XXIV ? 24th European Conference on Operational Research. 2010. Figueiredo, F.; Dias, J. G..
  93. The role of consumers' parasocial attachement in product placement. American Academy of Advertising European Conference. 2010. Dias, J; Lages, C.; Dias, J. G..
  94. The dynamics of EMU markets cycles before and after the EMU. 6 th Portuguese Finance Network. 2010. Ramos, S.; Dias, J. G..
  95. The dynamics of stock markets cycles in the euro zone. 2010 Financial Management Association. 2010. Ramos, S.; Dias, J. G..
  96. Model-based clustering of multistate data with latent change. An application with DHS data. GfKl-CLADAG Meeting. 2010. Dias, J. G..
  97. Modeling Demographic and Health Survey (DHS) data by latent class models: An application. MACMESE '10. 2010. Dias, J. G..
  98. Store-level latent segmentation models: A case study. MACMESE '10. 2010. Trindade, G.; Hill, M.; Dias, J. G..
  99. The dynamics of EMU markets cycles before and after the EMU. 17 th Multinational Finance Society Conference. 2010. Ramos, S.; Dias, J. G..
  100. Latent states in multistate models: Application of hidden Markov models. Workshop MIC-MAC, Nederlands Interdisciplinair Demografisch Instituut (NIDI ? Instituto Holandês de Demografia), Real Academia de Ciências dos Países Baixos. 2010. Dias, J. G..
  101. Modeling DHS data using dynamic mixture models. LinStat?10 ? International Conference on Trends and Perspectives in Linear Statistical Inference. 2010. Dias, J. G..
  102. A latent segment logit models with store-level data. JOCLAD2010. 2010. Trindade, G.; Dias, J. G..
  103. The dynamics of EMU markets cycles before and after the EMU. 2010 European Financial Management Association. 2010. Ramos, S.; Dias, J. G..
  104. Outlier time series detection by heterogeneous hidden Markov models. JOCLAD2010. 2010. Dias, J. G.; Ramos, S..
  105. Mining financial time series: New insights from model-based clustering methods. EURO XXIV ? 24th European Conference on Operational Research. 2010. Dias, J. G.; Vermunt, J.K. ; Ramos, S..
  106. Is European economic growth heterogeneous across countries? A latent Markov analysis. XXIII International Conference of Applied Economics. 2009. Dias, J. G..
  107. Breast cancer diagnostic typologies by Grade-of-Membership fuzzy modeling. 2nd WSEAS International Conference on Multivariate Analysis and its Application in Science and Engineering (MAASE '09). 2009. Dias, J. G..
  108. Model-based clustering of interval data. IFCS2009. 2009. Brito, MP; Duarte Silva, P.; Dias, J. G..
  109. Understanding latent class model selection criteria by latent class modeling. IFCS2009. 2009. Dias, J. G..
  110. Understanding poverty using household wealth quintile estimation from the DHS: a quantitative assessment. Poverty and Reproductive Health in Poor Countries: Issues, Measurement & Evidence. 2009. Dias, J. G.; Sabu S. Padmadas.
  111. Monitoring European fertility levels by dynamic latent class models. Vienna Institute of Demography, Academia de Ciências da Austria. 2009. Dias, J. G..
  112. Parametric modeling of interval data. Application to multivariate data analysis. Workshop in Symbolic Data Analysis. 2009. Brito, MP; Duarte Silva, P.; Dias, J. G..
  113. EM-based algorithms for Web mining massive data sets. Operations Research 2008 (OR2008). 2008. Cortinhal, M.; Dias, J. G..
  114. Identifying the determinants of entrepreneurship in Brazil and linking it to economic growth: An econometric analysis. 2008 Babson College Entrepreneurship Research Conference. 2008. Castanhar, J.; Dias, JF; Dias, J. G..
  115. The SKM algorithm: A K-means algorithm for clustering sequential data. 11th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2008. 2008. Dias, J. G.; Cortinhal, M. J..
  116. When markets fall down: are emerging markets all equal?. 5 th Portuguese Finance Network. 2008. Ramos, S.; Dias, J. G..
  117. Mixture hidden Markov models in finance research. GfKl 2008. 2008. Dias, J. G.; Vermunt, J.K. ; Ramos, S..
  118. Heterogeneous hidden Markov models. Compstat 2008. 2008. Dias, J. G.; Vermunt, J.K. ; Ramos, S..