Mathew Mercuri writes: I am interested in learning how to work in a Bayesian world. I have training in a frequentist approach, specifically from an applied health scientist/epidemiologist approach. However, while i teach courses in applied statistics, I am not particularly savvy with heavy statistical mathematics, so I am a bit worried bout how to […]
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Academics : The Endeavour

Bayesian statistics is to Python as frequentist statistics is to Perl. Perl has the slogan “There’s more than one way to do it,” abbreviated TMTOWTDI and pronouced “tim toady.” Perl prides itself on variety. Python takes the opposit...

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science

X writes: This paper discusses the dual interpretation of the Jeffreys– Lindley’s paradox associated with Bayesian posterior probabilities and Bayes factors, both as a differentiation between frequentist and Bayesian statistics and ...

Academics : The Endeavour

Bayesian methods for designing clinical trials have become more common, and yet these Bayesian designs are almost always evaluated by frequentist criteria. For example, a trial may be designed to stop early 95% of the time under som...

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science

Charlie Williams writes: As I get interested in Bayesian approaches to statistics, I have one question I wondered if you would find interesting to address at some point on the blog. What does Bayesian work look like in action across...

Academics / Mathematics : Statistical Modeling, Causal Inference, and Social Science

Roland Rau writes: After many years of applying frequentist statistical methods in mortality research, I just began to learn about the application of Bayesian methods in demography. Since I also wanted to change a part of my researc...

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