Bayesian Updating and Experimental Design

Xiaojing Dong ()
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Xiaojing Dong: Santa Clara University, Leavey School of Business

Chapter Chapter 10 in Marketing Analytics and Data Science, 2026, pp 189-203 from Springer

Abstract: Abstract The previous chapter introduced Bayes’ theorem, its foundation in inverse probability, and its application in addressing the marketing attribution problem. In this chapter, we extend those concepts by exploring Bayesian updating and its application in enhancing the efficiency of experimental designs.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-11130-2_10

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DOI: 10.1007/978-3-032-11130-2_10

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