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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.

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Bayesian Updating and Experimental Design

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  • 发表日期：

    2026年

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  • Xiaojing Dong

摘要

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.