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Nested hidden Markov chains for modeling dynamic unobserved heterogeneity in multilevel longitudinal data
composite likelihood EM algorithm latent Markov model pairwise likelihood
2012/9/17
In the context of multilevel longitudinal data, where sample units are collected in clusters, an important aspect that should be accounted for is the unobserved heterogeneity between sample units and ...
Approximate conditional inference for panel logit models allowing for state dependence and unobserved heterogeneity
binary data exponential quadratic distribution log-linear models logoddsratios longitudinal data
2010/4/27
We show that a dynamic logit model for binary panel data allowing for state dependence
and unobserved heterogeneity may be accurately approximated by a quadratic exponential
model, the parameters of...