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 can be applied to other types of discrete-valued time series, such as binary-valued or categorical time series.
Explore a Balanced Treatment of Frequentist and Bayesian Perspectives
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Model a Wide Range of Count Time Series
Handbook of Discrete-Valued Time Series presents state-of-the-art methods...
