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Free Download Bayesian Statistics and Marketing, 2nd Edition by Peter E. Rossi, Greg M. Allenby, Sanjog Misra
English | July 15th, 2024 | ISBN: 1394219113 | 402 pages | True PDF | 8.85 MB
Fine-tune your marketing research with this cutting-edge statistical toolkit
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.
Readers of the second edition of Bayesian Statistics and Marketing will also find:
- Discussion of Bayesian methods in text analysis and Machine Learning
- Updates throughout reflecting the latest research and applications
- Discussion of modern statistical software, including an introduction to the R package bayesm, which implements all models incorporated here
- Extensive case studies throughout to link theory and practice
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