José G. Dias

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 5

Top Topics

Mixture Modeling

Clustering Method

Top Venues

Expert Syst. Appl.

Eur. J. Oper. Res.

Appl. Math. Comput.

Publications

António Pedro Duarte Silva, Paula Brito, Peter Filzmoser, José G. Dias
MAINT.Data: Modelling and Analysing Interval Data in R. R J. 13 (2) (2021)
Graça Trindade, José G. Dias, Jorge A. Ambrósio
Extracting clusters from aggregate panel data: A market segmentation study. Appl. Math. Comput. 296 (2017)
Bruno Cardoso Alves, José G. Dias
Survival mixture models in behavioral scoring. Expert Syst. Appl. 42 (8) (2015)
Paula Brito, António Pedro Duarte Silva, José G. Dias
Probabilistic clustering of interval data. Intell. Data Anal. 19 (2) (2015)
José G. Dias, Jeroen K. Vermunt, Sofia Ramos
Clustering financial time series: New insights from an extended hidden Markov model. Eur. J. Oper. Res. 243 (3) (2015)
Luca De Angelis, José G. Dias
Mining categorical sequences from data using a hybrid clustering method. Eur. J. Oper. Res. 234 (3) (2014)
José G. Dias, Sofia Ramos
Dynamic clustering of energy markets: An extended hidden Markov approach. Expert Syst. Appl. 41 (17) (2014)
José G. Dias, Maria João Cortinhal
The SKM Algorithm: A K-Means Algorithm for Clustering Sequential Data. IBERAMIA (2008)
José G. Dias, Jeroen K. Vermunt
A bootstrap-based aggregate classifier for model-based clustering. Comput. Stat. 23 (4) (2008)
José G. Dias, Jeroen K. Vermunt, Sofia Ramos
Mixture Hidden Markov Models in Finance Research. GfKl (2008)
José G. Dias
Model Selection Criteria for Model-Based Clustering of Categorical Time Series Data: A Monte Carlo Study. GfKl (2006)
José G. Dias
Bootstrapping Latent Class Models. GfKl (2004)
José G. Dias, Michel Wedel
An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods. Stat. Comput. 14 (4) (2004)