Distributions on the unit simplex / Mattias Villani | Observable

Mattias Villani

Professor of Statistics at Stockholm University

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Fork of Multivariate LogitNormal Distribution

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Bayesian Learning

Bernoulli distribution Maximum likelihood - Bernoulli data Bayes' theorem for events Bayesian inference for Bernoulli iid data Maximum likelihood for iid Poisson data Bayesian inference for iid Poisson counts Bayesian inference for Exponential iid data Scaled inverse chi2 distribution Bayesian inference for multinomial data Bayesian inference for Gaussian iid data with known variance Bayesian credible intervals Hamiltonian Markov Chain Monte Carlo Autoregressive processes - simulation and priors Multivariate normal distribution Bayesian linear regression Central limit theorem Law of Large Numbers Random Walk Metropolis Leapfrog Integrator HMC sampling from multi-modal distributions Posterior approximation - Beta model for proportions

Distributions on the unit simplex

Maximum likelihood - Poisson regression Second derivative measures the curvature of a function Bayesian inference for Gaussian iid data Kullback-Leibler divergence - continuous distributions Confidence interval for a proportion Coverage of interval estimates for a proportion Approximating the Binomial distribution

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