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pro vyhledávání: '"Bartolucci, Francesco"'
We propose an inferential approach for maximum likelihood estimation of the hidden Markov models for continuous responses. We extend to the case of longitudinal observations the finite mixture model of multivariate Gaussian distributions with Missing
Externí odkaz:
http://arxiv.org/abs/2106.15948
The paper describes a new class of capture-recapture models for closed populations when individual covariates are available. The novelty consists in combining a latent class model for the distribution of the capture history, where the class weights a
Externí odkaz:
http://arxiv.org/abs/2106.03811
Akademický článek
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Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks
A new modeling framework for bipartite social networks arising from a sequence of partially time-ordered relational events is proposed. We directly model the joint distribution of the binary variables indicating if each single actor is involved or no
Externí odkaz:
http://arxiv.org/abs/1810.08778
Autor:
Pigini, Claudia, Bartolucci, Francesco
Publikováno v:
In Econometrics and Statistics July 2022 23:83-104
Publikováno v:
In Spatial Statistics June 2022 49
Publikováno v:
International Statistical Review; Dec2024, Vol. 92 Issue 3, p327-354, 28p
Autor:
Pennoni, Fulvia1 (AUTHOR) fulvia.pennoni@unimib.it, Bartolucci, Francesco2 (AUTHOR), Pandolfi, Silvia2 (AUTHOR)
Publikováno v:
Journal of Classification. Nov2024, Vol. 41 Issue 3, p568-589. 22p.