José G. Dias
José G. Dias
Verified email at iscte.pt
Title
Cited by
Cited by
Year
An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods
JG Dias, M Wedel
Statistics and Computing 14 (4), 323-332, 2004
902004
Latent class modeling of website users’ search patterns: Implications for online market segmentation
JG Dias, JK Vermunt
Journal of Retailing and Consumer Services 14 (6), 359-368, 2007
842007
Clustering financial time series: New insights from an extended hidden Markov model
JG Dias, JK Vermunt, S Ramos
European Journal of Operational Research 243 (3), 852-864, 2015
542015
Finite mixture models
JG Dias
Review, Applications, and Computer-intensive Methods (PhD Thesis …, 2004
502004
Latent class analysis and model selection
JG Dias
From data and information analysis to knowledge engineering, 95-102, 2006
422006
Disentangling women's responses on complex dietary intake patterns from an Indian cross-sectional survey: a latent class analysis
SS Padmadas, JG Dias, FJ Willekens
Public Health Nutrition 9 (2), 204-211, 2006
412006
Model selection for the binary latent class model: A Monte Carlo simulation
JG Dias
Data science and classification, 91-99, 2006
372006
Dominance of sterilization and alternative choices of contraception in India: an appraisal of the socioeconomic impact
IT De Oliveira, JG Dias, SS Padmadas
PLoS One 9 (1), e86654, 2014
352014
A bootstrap-based aggregate classifier for model-based clustering
JG Dias, JK Vermunt
Computational Statistics 23 (4), 643-659, 2008
352008
What do Europeans believe to be the causes of poverty? A multilevel analysis of heterogeneity within and between countries
LP Da Costa, JG Dias
Social Indicators Research 122 (1), 1-20, 2015
342015
Mixture hidden Markov models in finance research
JG Dias, JK Vermunt, S Ramos
Advances in data analysis, data handling and business intelligence, 451-459, 2009
332009
Bootstrap methods for measuring classification uncertainty in latent class analysis
JG Dias, JK Vermunt
Compstat 2006-Proceedings in Computational Statistics, 31-41, 2006
332006
Mining categorical sequences from data using a hybrid clustering method
L De Angelis, JG Dias
European Journal of Operational Research 234 (3), 720-730, 2014
322014
When markets fall down: are emerging markets all the same?
SB Ramos, JK Vermunt, JG Dias
International Journal of Finance & Economics 16 (4), 324-338, 2011
292011
Dynamic clustering of energy markets: An extended hidden Markov approach
JG Dias, SB Ramos
Expert Systems with Applications 41 (17), 7722-7729, 2014
252014
Banking industry performance in the wake of the global financial crisis
DC Bhimjee, SB Ramos, JG Dias
International Review of Financial Analysis 48, 376-387, 2016
222016
Environmental sustainability measurement in the Travel & Tourism Competitiveness Index: An empirical analysis of its reliability
JG Dias
Ecological Indicators 73, 589-596, 2017
212017
Multilevel effects of wealth on women's contraceptive use in Mozambique
JG Dias, IT de Oliveira
PloS one 10 (3), e0121758, 2015
192015
Model-based clustering of sequential data with an application to contraceptive use dynamics
JG Dias, F Willekens
Mathematical population studies 12 (3), 135-157, 2005
192005
The aftermath of the subprime crisis: a clustering analysis of world banking sector
JG Dias, SB Ramos
Review of Quantitative Finance and Accounting 42 (2), 293-308, 2014
182014
The system can't perform the operation now. Try again later.
Articles 1–20