{"product_id":"bayesian-statistics-and-marketing-hardcover","title":"Bayesian Statistics and Marketing - Hardcover","description":"\u003cp\u003eby \u003cb\u003ePeter E. Rossi\u003c\/b\u003e (Author), \u003cb\u003eGreg M. Allenby\u003c\/b\u003e (Author), \u003cb\u003eSanjog Misra\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFine-tune your marketing research with this cutting-edge statistical toolkit\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eBayesian Statistics and Marketing\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eEconomists 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. \u003c\/p\u003e\u003cp\u003eReaders of the second edition of \u003ci\u003eBayesian Statistics and Marketing\u003c\/i\u003e will also find: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eDiscussion of Bayesian methods in text analysis and Machine Learning\u003c\/li\u003e \u003cli\u003eUpdates throughout reflecting the latest research and applications\u003c\/li\u003e \u003cli\u003eDiscussion of modern statistical software, including an introduction to the R package bayesm, which implements all models incorporated here\u003c\/li\u003e \u003cli\u003eExtensive case studies throughout to link theory and practice\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eBayesian Statistics and Marketing\u003c\/i\u003e is ideal for advanced students and researchers in marketing, business, and economics departments, as well as for any statistically savvy marketing practitioner.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFine-tune your marketing research with this cutting-edge statistical toolkit\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eBayesian Statistics and Marketing \u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eEconomists 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. \u003c\/p\u003e\u003cp\u003eReaders of the second edition of \u003ci\u003eBayesian Statistics and Marketing \u003c\/i\u003ewill also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDiscussion of Bayesian methods in text analysis and Machine Learning \u003c\/li\u003e\n\u003cli\u003eUpdates throughout reflecting the latest research and applications \u003c\/li\u003e\n\u003cli\u003eDiscussion of modern statistical software, including an introduction to the R package bayesm, which implements all models incorporated here \u003c\/li\u003e\n\u003cli\u003eExtensive case studies throughout to link theory and practice\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eBayesian Statistics and Marketing\u003c\/i\u003e is ideal for advanced students and researchers in marketing, business, and economics departments, as well as for any statistically savvy marketing practitioner.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePeter Rossi\u003c\/b\u003e is James Collins Distinguished University Professor of Marketing, Economics, and Statistics at the Anderson School of Management, UCLA, USA. He is the author of the popular R package, bayesm, and he has researched and published extensively on pricing and promotion, target marketing, and other related subjects. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eGreg Allenby\u003c\/b\u003e is Helen C. Kurtz Professor of Marketing as well as Professor of Statistics at the Fisher College of Business, Ohio State University, USA. He is a Fellow of the Informs Society for Marketing Science and the American Statistical Association, and he has published widely on the development and application of quantitative methods in marketing. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eSanjog Misra\u003c\/b\u003e is Charles H. Kellstadt Professor of Marketing in the Booth School of Business, University of Chicago, USA. He has served as the co-editor of numerous high-impact journals, including Quantiative Marketing and Economics, and his research focuses on the use of machine learning and deep learning to study consumer and firm decisions\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 400\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.88 x 9.61 x 6.69 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 22, 2024\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51750533857568,"sku":"9781394219117","price":158.4,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/79b58d5a31c42e13e9994e42b2c2170a.webp?v=1779952390","url":"https:\/\/ebocreations.com\/products\/bayesian-statistics-and-marketing-hardcover","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}