Discrete distributions | Compound probability distributions | Conjugate prior distributions

Beta-binomial distribution

In probability theory and statistics, the beta-binomial distribution is a family of discrete probability distributions on a finite support of non-negative integers arising when the probability of success in each of a fixed or known number of Bernoulli trials is either unknown or random. The beta-binomial distribution is the binomial distribution in which the probability of success at each of n trials is not fixed but randomly drawn from a beta distribution. It is frequently used in Bayesian statistics, empirical Bayes methods and classical statistics to capture overdispersion in binomial type distributed data. The beta-binomial is a one-dimensional version of the Dirichlet-multinomial distribution as the binomial and beta distributions are univariate versions of the multinomial and Dirichlet distributions respectively. The special case where α and β are integers is also known as the negative hypergeometric distribution. (Wikipedia).

Beta-binomial distribution
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Finding The Probability of a Binomial Distribution Plus Mean & Standard Deviation

This Statistics video tutorial explains how to find the probability of a binomial distribution as well as calculating the mean and standard deviation. You need to know how to use the combination formula in order to solve the example problems presented in this video. My E-Book: https://a

From playlist Statistics

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The Binomial Distribution

We use the Binomial Distribution app on ArtofStat.com to visualize the shape of the binomial distribution and to find probabilities for the number of successes in Bernoulli trials.

From playlist Chapter 6: Distributions

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23 - Beta conjugate to Binomial and Bernoulli likelihoods - full proof 3

This video provides a full proof of the fact that a Beta distribution is conjugate to both Binomial and Bernoulli likelihoods. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9

From playlist Bayesian statistics: a comprehensive course

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Excel Beta Distribution (BETA.DIST)

How to use the BETA.DIST function in Excel for beta distribution cumulative probabilities. Three ways to format the function/

From playlist Excel for Statistics

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Prob & Stats - Random Variable & Prob Distribution (37 of 53) Binomial Distribution

Visit http://ilectureonline.com for more math and science lectures! In this video I will explain a basic understanding of binomial distribution. Next video in series: http://youtu.be/uO166WiwFFg

From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution

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29 - Posterior predictive distribution: example Disease

This video provides an introduction to the concept of posterior predictive distributions, using the example of disease prevalence in a population. Here we consider the case of a beta prior and binomial likelihood; resulting in a beta-binomial posterior. If you are interested in seeing mo

From playlist Bayesian statistics: a comprehensive course

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20 - Beta conjugate prior to Binomial and Bernoulli likelihoods

This video sketches a short proof of the fact that a Beta distribution is conjugate to both Binomial and Bernoulli likelihoods. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB

From playlist Bayesian statistics: a comprehensive course

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Generalized Linear Model (Part B)

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics

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Low Default Portfolios (Part 2)

We continue the discussion on LDPs, focusing our attention on the beta-binomial model, and the results of Tasche (2013). The link to the paper is at the end of this description. Which estimator should I use? Answering this question is not easy. From a theoretical point of view, the Bayes

From playlist Topics in Credit Risk Modelling

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Generalized Linear Model (Part A)

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics

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JASP 0.14 Tutorial: Learn Bayes Module PART 1 (Binomial Estimation) (Episode 24)

In this JASP tutorial, I learn how to understand Bayesian statistical methods using the "Learn Bayes" module, available in the latest version of JASP! I did not do Bayesian stats in graduate school, and most frequently use classical/frequentist statistical methods. In "part one" of my two-

From playlist JASP Tutorials

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JASP 0.14 Tutorial: Learn Bayes Module PART 2 (Binomial Test) (Episode 25)

In this JASP tutorial, I learn how to understand Bayesian statistical methods using the "Learn Bayes" module, available in the latest version of JASP! I did not do Bayesian stats in graduate school, and most frequently use classical/frequentist statistical methods. In "part two" of my two-

From playlist JASP Tutorials

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27 - Prior predictive distribution: example Disease - 1

This video provides an example of deriving the prior predictive distribution (beta-binomial) for the case of a beta prior and a binomial likelihood. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5

From playlist Bayesian statistics: a comprehensive course

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21 - Beta conjugate to Binomial and Bernoulli likelihoods - full proof

This video provides a full proof of the fact that a Beta distribution is conjugate to both Binomial and Bernoulli likelihoods. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9

From playlist Bayesian statistics: a comprehensive course

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19 - Beta distribution - an introduction

This video provides an introduction to the beta distribution; giving its definition, explaining why we may use it, and the range of beliefs that can be described by this versatile distribution. If you are interested in seeing more of the material, arranged into a playlist, please visit: h

From playlist Bayesian statistics: a comprehensive course

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42 - Prior predictive distribution for Gamma prior to Poisson likelihood

This video provides a derivation of the prior predictive distribution - a negative binomial - for when there is a Gamma prior to a Poisson likelihood. If you are interested in seeing more of the material on Bayesian statistics, arranged into a playlist, please visit: https://www.youtube.

From playlist Bayesian statistics: a comprehensive course

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44 - Posterior predictive distribution a negative binomial for gamma prior to poisson likelihood

This video provides a derivation of the posterior predictive distribution - a negative binomial - for when there is a gamma prior to a Poisson likelihood. If you are interested in seeing more of the material on Bayesian statistics, arranged into a playlist, please visit: https://www.yout

From playlist Bayesian statistics: a comprehensive course

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22 - Beta conjugate to Binomial and Bernoulli likelihoods - full proof 2

This video provides a full proof of the fact that a Beta distribution is conjugate to both Binomial and Bernoulli likelihoods. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9

From playlist Bayesian statistics: a comprehensive course

Related pages

Support (mathematics) | Beta distribution | Moment (mathematics) | Posterior predictive distribution | Hypergeometric distribution | Conjugate prior | Dirichlet distribution | Factorial moment | Statistics | Negative hypergeometric distribution | Pólya urn model | Hypergeometric function | Method of moments (statistics) | Bayesian statistics | Bernoulli trial | Generalized linear model | Dirichlet-multinomial distribution | Overdispersion | Akaike information criterion | Integer | R (programming language) | Real number | Multinomial distribution | Probability distribution | Beta function | Negative binomial distribution | Binomial distribution | Probability theory | Kurtosis