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 |
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 ¾DocID: 1uuy9 - View Document | |
The shape of the one-dimensional phylogenetic likelihood functionDocID: 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 pDocID: 1t5Vr - View Document | |
On the Application of Automatic Differentiation to the Likelihood Function for Dynamic General Equilibrium ModelsDocID: 1ryLK - View Document |