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ORCIDJosé G. Dias
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2020 – today
- 2021
[j9]António Pedro Duarte Silva, Paula Brito
, Peter Filzmoser, José G. Dias:
MAINT.Data: Modelling and Analysing Interval Data in R. R J. 13(2): 266 (2021)
2010 – 2019
- 2017
- [j8]Graça Trindade, José G. Dias, Jorge A. Ambrósio:
Extracting clusters from aggregate panel data: A market segmentation study. Appl. Math. Comput. 296: 277-288 (2017) - 2015
- [j7]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): 852-864 (2015) - [j6]Bruno Cardoso Alves, José G. Dias:
Survival mixture models in behavioral scoring. Expert Syst. Appl. 42(8): 3902-3910 (2015) - [j5]Paula Brito, António Pedro Duarte Silva, José G. Dias:
Probabilistic clustering of interval data. Intell. Data Anal. 19(2): 293-313 (2015) - 2014
- [j4]Luca De Angelis, José G. Dias:
Mining categorical sequences from data using a hybrid clustering method. Eur. J. Oper. Res. 234(3): 720-730 (2014) - [j3]José G. Dias, Sofia Ramos:
Dynamic clustering of energy markets: An extended hidden Markov approach. Expert Syst. Appl. 41(17): 7722-7729 (2014) - 2013
- [p2]José G. Dias:
Model-Based Clustering of Multistate Data with Latent Change: An Application with DHS Data. Classification and Data Mining 2013: 189-196 - [p1]José G. Dias:
Latent Class Models of Time Series Data: An Entropic-Based Uncertainty Measure. Algorithms from and for Nature and Life 2013: 205-214
2000 – 2009
- 2008
- [j2]José G. Dias, Jeroen K. Vermunt:
A bootstrap-based aggregate classifier for model-based clustering. Comput. Stat. 23(4): 643-659 (2008) - [c4]José G. Dias, Jeroen K. Vermunt, Sofia Ramos:
Mixture Hidden Markov Models in Finance Research. GfKl 2008: 451-459 - [c3]José G. Dias, Maria João Cortinhal:
The SKM Algorithm: A K-Means Algorithm for Clustering Sequential Data. IBERAMIA 2008: 173-182 - 2006
- [c2]José G. Dias:
Model Selection Criteria for Model-Based Clustering of Categorical Time Series Data: A Monte Carlo Study. GfKl 2006: 23-30 - 2004
- [j1]José G. Dias, Michel Wedel:
An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods. Stat. Comput. 14(4): 323-332 (2004) - [c1]José G. Dias:
Bootstrapping Latent Class Models. GfKl 2004: 121-128
Coauthor Index
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