Bayesian statistics and marketing

By:

Rossi, Peter E

Contributor(s):

Material type: Text

TextSeries: Wiley Series in Probability and StatisticsPublication details: John Wiley & Sons Ltd. New Jersey 2024Edition: 2ndDescription: viii, 391 pISBN:

9781394219117

Subject(s):

DDC classification:

658.8 ROS

Summary: Bayesian Statistics and Marketing illustrates the potential for applying a Bayesian approach to some of the most challenging and important problems in marketing. Analyzing household and consumer data, predicting product performance, and custom-targeting campaigns are only a few of the areas in which Bayesian approaches promise revolutionary results. This book provides a comprehensive, accessible overview of this subject essential for any statistically informed marketing researcher or practitioner. Economists and other social scientists will find a comprehensive treatment of many Bayesian methods that are central to the problems in social science more generally. This includes a practical approach to computationally challenging problems in random coefficient models, non-parametrics, and the problems of endogeneity. (https://www.wiley.com/en-hk/Bayesian+Statistics+and+Marketing%2C+2nd+Edition-p-9781394219117)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Marketing	658.8 ROS (Browse shelf(Opens below))	1	Available		007643

Bayesian Statistics and Marketing illustrates the potential for applying a Bayesian approach to some of the most challenging and important problems in marketing. Analyzing household and consumer data, predicting product performance, and custom-targeting campaigns are only a few of the areas in which Bayesian approaches promise revolutionary results. This book provides a comprehensive, accessible overview of this subject essential for any statistically informed marketing researcher or practitioner.

Economists and other social scientists will find a comprehensive treatment of many Bayesian methods that are central to the problems in social science more generally. This includes a practical approach to computationally challenging problems in random coefficient models, non-parametrics, and the problems of endogeneity.

(https://www.wiley.com/en-hk/Bayesian+Statistics+and+Marketing%2C+2nd+Edition-p-9781394219117)

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