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www.fharrell.com | ||
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minireference.com
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| | | | | [AI summary] The author critiques the outdated, formula-heavy introductory statistics curriculum and outlines a plan for a new textbook that prioritizes practical skills, randomization methods, and a deeper conceptual understanding over rote memorization of analytical approximations. | |
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alexanderetz.com
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| | | | | [This post has been updated and turned into a paper to be published in AMPPS] Much of the discussion in psychology surrounding Bayesian inference focuses on priors. Should we embrace priors, or should we be skeptical? When are Bayesian methods sensitive to specification of the prior, and when do the data effectively overwhelm it? Should... | |
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fharrell.com
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| | | | | This is the story of what influenced me to become a Bayesian statistician after being trained as a classical frequentist statistician, and practicing only that mode of statistics for many years. | |
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bdtechtalks.com
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| | | The transformer model has become one of the main highlights of advances in deep learning and deep neural networks. | ||
