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⚠️Bayesian methods in a nutshell 🚨 : ❌ Lacking theoretical backing ❌ Based on questionable priors ❌ Yield beliefs, not probabilities ❌ Often misplace posteriors without warning ❌ No validity guarantees ❌ Uncalibrated results ❌ Built on artificial assumptions ❌ Prone to instability ❌ Disrupt base models ❌ Tough to build and maintain

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Valeriy Manokhin, PhD, MBA, CQF
Valeriy Manokhin, PhD, MBA, CQF

Written by Valeriy Manokhin, PhD, MBA, CQF

Principal Data Scientist, PhD in Machine Learning, creator of Awesome Conformal Prediction 👍Tip: hold down the Clap icon for up x50

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