<--- Back to Details
First PageDocument Content
Hyperparameter / Exponential family / Prior probability / Gamma distribution / Normal distribution / Likelihood function / Likelihood principle / Sufficient statistic / Bayesian inference / Statistics / Bayesian statistics / Conjugate prior
Date: 2013-07-09 18:20:42
Hyperparameter
Exponential family
Prior probability
Gamma distribution
Normal distribution
Likelihood function
Likelihood principle
Sufficient statistic
Bayesian inference
Statistics
Bayesian statistics
Conjugate prior

Add to Reading List

Source URL: www.johndcook.com

Download Document from Source Website

File Size: 302,04 KB

Share Document on Facebook

Similar Documents

Likelihood Function .... Method of Moments ...........

DocID: 1vn7a - View Document

NOISE ROBUST SPEECH RECOGNITION USING GAUSSIAN BASIS FUNCTIONS FOR NON-LINEAR LIKELIHOOD FUNCTION APPROXIMATION Chris Pal½ ¾ , Brendan Frey½ ¾ and Trausti Kristjansson ½ ¾ ½ ¾

DocID: 1uuy9 - View Document

The shape of the one-dimensional phylogenetic likelihood function

DocID: 1u9Og - View Document

Is Bayes posterior just quick and dirty confidence? D.A.S. Fraser March 9, 2009 Abstract Bayesintroduced the observed likelihood function to statistical inference and provided a weight function to calibrate the p

DocID: 1t5Vr - View Document

On the Application of Automatic Differentiation to the Likelihood Function for Dynamic General Equilibrium Models

DocID: 1ryLK - View Document