Hidden Markov models—most often abbreviated to the acronym “HMMs”—are one of the
most successful statistical modelling ideas that have came up in the last forty years: the use …

This text will equip both practitioners and theorists with the necessary background in testing
hypothesis and decision theory to enable innumerable practical applications of statistics. Its …

This book covers a wide variety of statistical techniques for longitudinal data analysis. The
authors, Geert Molenberghs and Geert Verbeke–both well known in this field–have …

The linear mixed model has become the main parametric tool for the analysis of continuous
longitudinal data. Verbeke and Molenberghs (2000) devoted an entire text to the model, a …

The linear mixed model has become the main parametric tool for the analysis of continuous
longitudinal data. Verbeke and Molenberghs (2000) devoted an entire text to the model, a …

Inference in Hidden Markov Models Page 1 Inference in Hidden Markov Models Olivier
Cappé, Eric Moulines and Tobias Rydén June 17, 2009 Page 2 2 Page 3 Contents 1 Main …

This book provides a comprehensive treatment on modeling approaches for non-Gaussian
repeated measures, possibly subject to incompleteness. The authors begin with models for …

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