<--- Back to Details
First PageDocument Content
Graphical models / Bayesian networks / Variational message passing / Exponentials / Belief propagation / Gibbs sampling / Kullback–Leibler divergence / Conjugate prior / Exponential family / Statistics / Probability and statistics / Bayesian statistics
Date: 2005-06-07 06:35:15
Graphical models
Bayesian networks
Variational message passing
Exponentials
Belief propagation
Gibbs sampling
Kullback–Leibler divergence
Conjugate prior
Exponential family
Statistics
Probability and statistics
Bayesian statistics

Add to Reading List

Source URL: johnwinn.org

Download Document from Source Website

File Size: 689,26 KB

Share Document on Facebook

Similar Documents

Exponential Family .................. Summary .

DocID: 1uWaB - View Document

2009 IEEE Information Theory Workshop Mutual Information and Posterior Estimates in Channels of Exponential Family Type Maxim Raginsky

DocID: 1uCUA - View Document

Mutual Information Saddle Points in Channels of Exponential Family Type Todd P. Coleman Maxim Raginsky

DocID: 1uy3L - View Document

Exponential Family Embeddings Maja Rudolph Columbia University Francisco J. R. Ruiz

DocID: 1tyws - View Document

Chapter 8 The exponential family: Basics In this chapter we extend the scope of our modeling toolbox to accommodate a variety of additional data types, including counts, time intervals and rates. We introduce the exponen

DocID: 1tomA - View Document