Bayesian inference for Bernoulli iid data / Mattias Villani | Observable

Mattias Villani

Professor of Statistics at Stockholm University

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Fork of Bayesian inference for Exponential iid data

Maximum likelihood for iid Poisson data Confidence interval for a mean Maximum likelihood - Bernoulli data

Bayesian inference for Bernoulli iid data

The Riemann integral Maximum likelihood - Poisson regression Hypothesis test for a mean in a normal population Bayesian inference for Gaussian iid data with known variance Hypothesis test for a mean - Type I and II errors Bayesian inference for iid Poisson counts Bayesian inference for Exponential iid data Central limit theorem Confidence interval for a proportion Law of Large Numbers Second derivative measures the curvature of a function

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Bayesian Learning

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