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www.the100.ci | ||
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easystats.github.io
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| | | | | TLDR: BayestestR currently uses a 89% threshold by default for Credible Intervals (CI). Should we change that? If so, by what? Join the discussion here. Magical numbers, or conventional thresholds, have bad press in statistics, and there are many of them. For instance, .05 (for the p-value), or the 95% range for the Confidence Interval (CI). Indeed, why 95 and not 94 or 90? One of the issue that traditional confidence intervals are often being interpreted as a description of the uncertainty surrounding a parameter's value. | |
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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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daily.dev
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| | | Explore online resources and strategies for learning software engineering fundamentals, full-stack development, and practical skills. Discover accredited programs, free courses, books, and tips for self-directed learning. | ||
