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Multinomial distribution
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1	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, d Add to Reading List Source URL: jonathan-huang.org Language: English - Date: 2014-09-08 21:47:30 Statistics Mathematical analysis Probability Probability distributions Gamma distribution Dirichlet distribution Exponential family Beta distribution Mixture model Multinomial distribution Likelihood function Maximum likelihood estimation
2	Correlated Community Estimation Models Over a Set of Names Suresh Veluru∗ , Yogachandran Rahulamathavan∗ , Suresh Manandhar† , and Muttukrishnan Rajarajan∗ ∗ Information Security Group, School of Engineering a Add to Reading List Source URL: www.uncertaintyofidentity.com Language: English - Date: 2014-11-25 09:34:28 Statistics Probability Probability distributions Statistical natural language processing Latent Dirichlet allocation Statistical models Mixture model Topic model Dirichlet distribution Multinomial distribution Gibbs sampling Perplexity
3	FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D3.3.1 Tools for mining non-stationary data - v2 Clustering Add to Reading List Source URL: www.trendminer-project.eu Language: English - Date: 2014-05-02 17:17:44 Statistical natural language processing Machine learning Statistics Artificial intelligence Topic model Latent Dirichlet allocation Gibbs sampling Multinomial logistic regression Dynamic topic model Dirichlet-multinomial distribution
4	A Faster Reliable Algorithm to Estimate the p-Value of the Multinomial llr Statistic Uri Keich and Niranjan Nagarajan Department of Computer Science, Cornell University, Ithaca, NY-14850, USA {keich,niranjan}@cs.cornell. Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2005-05-17 22:49:51 Statistics Probability distributions Mathematical analysis Probability Multinomial distribution Information theory LLR Multinomial
5	Estimating a Dirichlet distribution Thomas P. Minkarevised 2003, 2009, 2012) Abstract The Dirichlet distribution and its compound variant, the Dirichlet-multinomial, are two of the most basic models for proportion Add to Reading List Source URL: www.msr-waypoint.com Language: English - Date: 2012-03-29 12:29:15 Statistics Mathematical analysis Probability distributions Probability Dirichlet distribution Dirichlet-multinomial distribution Exponential family Gamma distribution Differential forms on a Riemann surface
6	BIRDNEST: Bayesian Inference for Ratings-Fraud Detection Bryan Hooi∗ Neil Shah∗ Mohit Kumar§ Add to Reading List Source URL: alexbeutel.com Language: English - Date: 2016-05-18 18:10:27 Statistics Probability Mathematical analysis Probability distributions Dirichlet-multinomial distribution Dirichlet distribution Mixture model Bayesian network Recommender system Multinomial distribution Bayesian inference Markov chain
7	Chapter 2 Probability Distributions In this chapter we will describe the most common probability distribution functions encountered in high energy physics. 2.1 Add to Reading List Source URL: ihp-lx.ethz.ch Language: English - Date: 2015-03-31 05:26:54 Mathematical analysis Statistics Probability Probability distributions Poisson distribution Normal distribution Binomial distribution Multinomial distribution Negative binomial distribution Compound Poisson distribution
8	Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction Shay B. Cohen and Noah A. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:48 Probability distributions Variational Bayesian methods Dirichlet distribution Expectationmaximization algorithm Gamma distribution Latent Dirichlet allocation Multinomial distribution Normal distribution Bayesian network Dirichlet process Mixture model Exponential family
9	Microsoft PowerPoint - Shannon IMHC Talk Vancouver 23feb11.pptx Add to Reading List Source URL: hmpdacc.org Language: English - Date: 2014-02-26 12:33:21 Probability distributions Multinomial distribution
10	Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005 Add to Reading List Source URL: www.idep.eco.usi.ch Language: English - Date: 2012-01-04 14:50:59 Statistical models Regression analysis Choice modelling Discrete choice Mode choice Mixed logit Probability distribution Multinomial logistic regression Logistic regression Likelihood function Mixture model Gibbs sampling

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