Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities
By Francesco Bartolucci. 2006
56 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0784af9be7a354c503ef4b7391302eca927e79fe
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In Artificial Intelligence
In Statistics and Probability
Citations in the corpus
- A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure (2009, methodology): “In fact, it is based on marginal logits for each response variable and marginal log-odds ratios for each pair of response variables, which may be of type local, global, or continuation (Bartolucci et al. 2007a). Consequently, the proposed model may also be applied in the presence of more than two re”