ABSTRACT
Model a Wide Range of Count Time Series Handbook of Discrete-Valued Time Series presents state-of-the-art methods for modeling time series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the book focuses on time series of counts, some of the techniques discussed ca
TABLE OF CONTENTS
section Section I|186 pages
Methods for Univariate Count Processes
section Section II|78 pages
Diagnostics and Applications
section Section III|59 pages
Binary and Categorical-Valued Time Series
section Section IV|80 pages
Discrete-Valued Spatio-Temporal Processes
section Section V|54 pages
Multivariate and Long Memory Discrete-Valued Processes
