Sampling distribution and likelihood function - Bernoulli model / Mattias Villani | Observable

Mattias Villani

Professor of Statistics at Stockholm University

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Fork of Sampling distribution and likelihood function - Normal model

The exponential function The logarithm function The derivative Function optimization A function and its derivatives The Riemann integral The Taylor approximation Bernoulli distribution Binomial distribution Poisson distribution Geometric distribution Negative binomial distribution Uniform distribution Triangular distribution Normal (Gaussian) distribution Exponential distribution Gamma distribution Chi2-distribution Beta distribution Student-t distribution (three-parameter)Chebyshev's inequality Maximum likelihood - Poisson regression Central limit theorem Law of Large Numbers Second derivative measures the curvature of a function Confidence interval for a mean

Sampling distribution and likelihood function - Bernoulli model

Maximum likelihood - Bernoulli data Maximum likelihood for iid Poisson data Multivariate normal distribution Likelihood and Information

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Basic Statistics

Bayesian Learning