ABSTRACT
Reveals How HMMs Can Be Used as General-Purpose Time Series ModelsImplements all methods in RHidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical o
TABLE OF CONTENTS
part |2 pages
PART ONE Model structure, properties and methods
part |2 pages
PART TWO Applications