The avatar for @mattiasvillani
Mattias Villani
Professor of Statistics at Stockholm University
Public
Edited
Feb 10
Fork of Bayesian inference for Exponential iid data
SDA3
The logarithm functionFunction optimizationThe exponential functionThe Taylor approximationA function and its derivativesThe derivativeSampling distribution and likelihood function - Bernoulli modelMaximum likelihood for iid Poisson dataConfidence interval for a meanMaximum likelihood - Bernoulli data
Bayesian inference for Bernoulli iid data
The Riemann integralMaximum likelihood - Poisson regressionHypothesis test for a mean in a normal populationBayesian inference for Gaussian iid data with known varianceHypothesis test for a mean - Type I and II errorsBayesian inference for iid Poisson countsBayesian inference for Exponential iid dataCentral limit theoremConfidence interval for a proportionLaw of Large NumbersSecond derivative measures the curvature of a function
Also listed in…
Bayesian Learning
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postmean = (d.alphapost)/(d.alphapost + d.betapost)
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colors = ["#6C8EBF", "#D6B656", "#B85450", "#006d77",
"#bf9d6c", "#55a12a", "#a6bbd8","#e6d399", "#d49896", "#66a7ad", "#bf8d6c", "#407d24"]
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