2.1. Binary Variables 1. Bernoulli distribution, p(x = 1|µ) = µ 2.Binomial distribution + 3.beta distribution(Conjugate Prior of Bernoulli distribution) The parameters a and b are often called hyperparameters because they control the distribution of…
PRML Chapter 2. Probability Distributions P68 conjugate priors In Bayesian probability theory, if the posterior distributions p(θ|x) are in the same family as the prior probability distributionp(θ), the prior and posterior are then called conjugate d…
https://www.statlect.com/probability-distributions/multinoulli-distribution3 Multinoulli distribution The Multinoulli distribution (sometimes also called categorical distribution) is a generalization of the Bernoulli distribution. If you perform an e…
Common Probability Distributions Probability Distribution A probability distribution describes the probabilities of all the possible outcomes for a random variable. A discrete random variable if one for which the number of possible outcomes can be co…
title: [概率论]3-7:多变量分布(Multivariate Distributions Part II) categories: Mathematic Probability keywords: Conditional Distributions 条件分布 Bayes' Theorem 贝叶斯理论 Histograms 直方图 Law of total Probability 全概率公式 toc: true date: 2018-03-15 09:20:38 Abstract: 本文继…
