First Page | Document Content | |
---|---|---|
Date: 2014-09-08 21:47:30Statistics Mathematical analysis Probability Probability distributions Gamma distribution Dirichlet distribution Exponential family Beta distribution Mixture model Multinomial distribution Likelihood function Maximum likelihood estimation | Maximum Likelihood Estimation of Dirichlet Distribution Parameters Jonathan Huang Abstract. Dirichlet distributions are commonly used as priors over proportional data. In this paper, I will introduce this distribution, dAdd to Reading ListSource URL: jonathan-huang.orgDownload Document from Source WebsiteFile Size: 305,72 KBShare Document on Facebook |
Exponential Family .................. Summary .DocID: 1uWaB - View Document | |
2009 IEEE Information Theory Workshop Mutual Information and Posterior Estimates in Channels of Exponential Family Type Maxim RaginskyDocID: 1uCUA - View Document | |
Mutual Information Saddle Points in Channels of Exponential Family Type Todd P. Coleman Maxim RaginskyDocID: 1uy3L - View Document | |
Exponential Family Embeddings Maja Rudolph Columbia University Francisco J. R. RuizDocID: 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 exponenDocID: 1tomA - View Document |