Bayesian Modeling of Time Series of Counts with Business Applications

Authored by: Refik Soyer , Tevfik Aktekin , Bumsoo Kim

Handbook of Discrete-Valued Time Series

Print publication date:  December  2015
Online publication date:  January  2016

Print ISBN: 9781466577732
eBook ISBN: 9781466577749
Adobe ISBN:

10.1201/b19485-14

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Abstract

Discrete-valued temporal data, and specifically count time series, often arise in numerous application areas including business, economics, engineering, and epidemiology, among others. For instance, observations under study can be the number of arrivals to a bank in a given hour, number of shopping trips of households in a week, number of mortgages defaulted from a particular pool in a given month, number of accidents in a given time interval, or the number of deaths from a specific disease in a given year.

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