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Multinomial distribution
Results: 94

#	Item
11	Non-Bayesian Optimal Search and Dynamic Implementation Alex Gershkov and Benny Moldovanu January 22, 2009 Abstract Add to Reading List Source URL: www.econ2.uni-bonn.de Language: English - Date: 2014-03-26 06:49:17 Probability distributions Statistical theory Bayesian statistics Bayesian inference Statistical forecasting Statistical inference Principle of maximum entropy Dirichlet distribution Mechanism design XK Multinomial distribution Normal distribution
12	Non-Bayesian Optimal Search and Dynamic Implementation Alex Gershkov and Benny Moldovanu January 22, 2009 Abstract Add to Reading List Source URL: www.econ2.uni-bonn.de Language: English - Date: 2014-03-26 06:49:17 Probability distributions Statistical theory Bayesian statistics Bayesian inference Statistical forecasting Statistical inference Principle of maximum entropy Dirichlet distribution Mechanism design XK Multinomial distribution Normal distribution
13	output/maye11bayesian.dvi Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2012-02-24 09:20:37 Bayesian statistics Probability distributions Mixture model Posterior predictive distribution Hidden Markov model Normal distribution Hyperparameter Prior probability Dirichlet distribution RT Image segmentation Dirichlet-multinomial distribution
14	Multiple Domain User Personalization Yucheng Low Deepak Agarwal Alexander J. Smola Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2012-04-13 10:24:21 Statistical natural language processing Latent Dirichlet allocation Topic model Dirichlet distribution Apache Spark Collaborative filtering Dirichlet-multinomial distribution
15	A Bayesian Framework for Modeling Human Evaluations Himabindu Lakkaraju∗ Jure Leskovec∗ Abstract Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2015-01-29 11:19:57 Psychometrics Multivariate statistics Market research Linear algebra Matrix theory Non-negative matrix factorization Evaluation Scale Multinomial distribution Matrix
16	An application of the Constrained Multinomial Logit (CMNL) for modelling dominated choice alternatives Francisco Martínez, University of Chile Ennio Cascetta, Francesca Pagliara, University of Naples Michel Bierlaire, T Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-11-24 07:42:20 Regression analysis Statistical models Decision theory Choice modelling Transportation planning Logit Multinomial logistic regression Logistic regression Discrete choice Utility Multiple-criteria decision analysis Trip distribution
17	Object-fine choice models for long-term decisions: which level of granularity is necessary? A review of literature VAN EGGERMOND Michael A.B.* , ERATH Alexander* , and AXHAUSEN Kay W.** * Add to Reading List Source URL: www.strc.ch Language: English - Date: 2012-05-16 11:55:24 Transportation planning Choice modelling Simulation Statistics Discrete choice Economy Trip distribution Mode choice UrbanSim Mixed logit Accessibility Multinomial logistic regression
18	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.strc.ch Language: English - Date: 2008-12-12 11:45:48 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
19	Mon.O1b.04 Phonotactic Language Recognition Using i-vectors and Phoneme Posteriogram Counts Add to Reading List Source URL: www.fit.vutbr.cz Language: English - Date: 2012-09-27 10:17:05 Machine learning Computational linguistics Vectors Statistical classification Probability distributions N-gram Speech recognition Multinomial distribution Mixture model Language model Support vector machine Euclidean vector
20	INTERSPEECHRegularized Subspace n-Gram Model for Phonotactic iVector Extraction ˇ Mehdi Soufifar 1,2 , Luk´asˇ Burget1 , Oldˇrich Plchot1, Sandro Cumani1,3 , Jan “Honza” Cernock´ y1 Add to Reading List Source URL: www.fit.vutbr.cz Language: English - Date: 2013-09-18 07:53:35 Statistics Estimation theory Probability Regression analysis Probability distributions N-gram Expectationmaximization algorithm Multinomial distribution Maximum likelihood estimation Parameter Logistic regression

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