#16 Bayesian Statistics the Fun Way, with Will Kurt
Learning Bayesian Statistics
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Exploring Skills and Challenges in Bayesian Statistics Writing
The chapter delves into the skills promoted by the author to encourage mathematical thinking and comfort with using notation. It also discusses challenges in writing about Bayesian statistics, including balancing depth and readability, the complexity of hierarchical models, and difficulties in explaining statistical concepts like averaging and the Edwin James mind projection fallacy. The conversation emphasizes the ongoing advancements in probabilistic programming and highlights the complementary nature of different approaches in Bayesian statistics.
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