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Multinomial
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#	Item
211	L ATINO D ECISIONS Latino Micro-targeting Models Loren Collingwood, Ph.D.∗, Matt Barreto, Ph.D.†, Tom Schaller, Ph.D.‡ March 14, 2014 Add to Reading List Source URL: www.votermapping.com Language: English - Date: 2014-04-07 14:47:52 Independent Logistic regression Multinomial logit Voter turnout Maximum likelihood Probability space Dummy variable Democratic Party Statistics Econometrics Regression analysis
212	Named Entity Recognition through Classifier Combination Radu Florian and Abe Ittycheriah and Hongyan Jing and Tong Zhang IBM T.J. Watson Research Center 1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA {raduf,abei,hjin Add to Reading List Source URL: www.cnts.ua.ac.be Language: English - Date: 2003-06-04 15:50:31 Statistical classification Linear classifier Classifier Ensemble learning Part-of-speech tagging Multinomial logit Random subspace method Boosting methods for object categorization Statistics Machine learning Artificial intelligence
213	United States Department of Agriculture Forest Service Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2013-12-05 11:44:29 Flora of the United States Multinomial logit Picea rubens Soil Climate Logistic regression Statistics Regression analysis Econometrics
214	Multinomial Inverse Regression for Text Analysis Matt Taddy arXiv:1012.2098v7 [stat.ME] 8 Aug 2013 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-08-08 23:27:26 Sufficient dimension reduction Sliced inverse regression Multinomial logit Linear regression Separation Multinomial distribution Exponential family Generalized linear model Outline of regression analysis Statistics Regression analysis Logistic regression
215	MaxEnt A program for maximum entropy modelling of species geographic distributions, written by Steven Phillips, Miro Dudik and Rob Schapire, with support from AT&T Labs-Research, Princeton University, and the Center for Add to Reading List Source URL: www.vertnet.org Language: English - Date: 2014-06-04 13:29:21 Econometrics Probability theory Principle of maximum entropy Statistical theory Multinomial logit Parameter Variance Sample Plot Statistics Regression analysis Bayesian statistics
216	Notes on Multinomial sparsity and the Dirichlet concentration parameter α David Bamman January 1, 2013 The Dirichlet distribution is parameterized by a vector of concentration parameters α. If α is symmetric (so that Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-01-01 17:27:42 Dirichlet distribution Constructible universe
217	A weakly informative default prior distribution for logistic and other regression models Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2009-01-13 21:34:46 Linear regression Generalized linear model Separation Least squares Poisson regression Normal distribution Expectation–maximization algorithm Predictive analytics Multinomial logit Statistics Regression analysis Logistic regression
218	A Brief Tutorial on Maxent By Steven Phillips, AT&T Research This tutorial gives a basic introduction to use of the MaxEnt program for maximum entropy modelling of species’ geographic distributions, written by Steve Add to Reading List Source URL: www.vertnet.org Language: English - Date: 2014-02-10 12:11:52 Science Mathematics Computing Charts Plot Parameter Multinomial logit Environment variable Species distribution Regression analysis Econometrics Ecology
219	BUS, 153 business model diversification, 279 business strategy, 52 IG Add to Reading List Source URL: media.wiley.com Language: English - Date: 2014-09-08 07:16:04 Statistical models Actuarial science Categorical data Generalized linear model Binomial regression Logit Empirical Bayes method Multinomial logit Gibbs sampling Statistics Regression analysis Econometrics

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