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Multinomial
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131	Report D – Revised Comprehensive Report Development of Long-Distance Multimodal Passenger Travel Modal Choice Model Add to Reading List Source URL: www.fhwa.dot.gov Language: English - Date: 2012-08-23 09:02:51 Regression analysis Econometrics Categorical data Statistical models Mode choice Discrete choice Multinomial logit Choice modelling Logistic regression Statistics Transportation planning Economics
132	Maximum Likelihood Estimation of Logistic Regression Models: Theory and Implementation Scott A. Czepiel∗ Abstract This article presents an overview of the logistic regression model Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2011-04-18 19:06:11 Estimation theory Actuarial science Categorical data Logistic regression Linear regression Generalized linear model Least squares Multinomial logit Maximum likelihood Statistics Regression analysis Econometrics
133	Journal of Machine Learning Research1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56 Latent Dirichlet allocation Probabilistic latent semantic analysis Mixture model Topic model Dirichlet distribution Expectation–maximization algorithm Multinomial distribution N-gram Maximum likelihood Statistics Probability and statistics Statistical natural language processing
134	Presentation of Jäger &慭瀻 Rosenbach Add to Reading List Source URL: www-nlp.stanford.edu Language: English - Date: 2007-12-03 15:07:57 Information theory Philosophy of thermal and statistical physics Bayesian statistics Principle of maximum entropy Multinomial logit Entropy Macroeconomic model Statistics Statistical theory Probability and statistics
135	Modelling Changing Rural Land Use in New Zealand 1997 to 2008 Using a Multinomial Logit Approach Zack Dorner with Dean Hyslop Motu Working Paper 14-12 Add to Reading List Source URL: motu-www.motu.org.nz Language: English - Date: 2014-11-10 22:12:18 Categorical data Statistical models Land management Econometrics Multinomial logit Discrete choice Land use Multinomial Johann Heinrich von Thünen Statistics Economics Regression analysis
136	Estimating Static Models of Strategic Interactions Patrick Bajari, Han Hong, John Krainer, and Denis Nekipelov 1 University of Minnesota and NBER Add to Reading List Source URL: www.econ.umn.edu Language: English - Date: 2009-07-17 10:31:10 Statistical models Econometrics Simultaneous equation methods Statistical theory Discrete choice Parametric model Multinomial logit Normal distribution Dummy variable Statistics Regression analysis Economics
137	TITLE: AN APPLICATION OF EM ALGORITHM TO ANALYSE AND FORECAST LONG‐RUN I‐O COEFFICIENT CHANGES AUTHORS: ANTONELLO, PAOLA ; Add to Reading List Source URL: www.iioa.org Language: English - Date: 2009-10-17 09:32:03 Wassily Leontief Matrix Algorithm Multinomial Determinant Input-output model Mathematics Algebra Matrix theory
138	latent gold 4.0 manual final for pdf.qxp Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2005-04-29 16:39:02 Categorical data Statistical methods Estimation theory Linear regression Logistic regression Poisson regression Factor analysis Multinomial logit Binomial regression Statistics Regression analysis Econometrics
139	Removing the Scale Factor Confound in Multinomial Logit Choice Models to Obtain Better Estimates of Preference1 Jay Magidson Statistical Innovations Inc. Jeroen K. Vermunt Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2008-09-23 15:42:55 Categorical data Statistical models Choice modelling Scientific modeling Discrete choice Logistic regression Multinomial logit Scale parameter Parameter Statistics Economics Regression analysis
140	Active Learning for Logistic Regression Andrew I. Schein The University of Pennsylvania Department of Computer and Information Science Philadelphia, PAUSA Add to Reading List Source URL: www.andrewschein.com Language: English - Date: 2011-08-13 15:18:52 Machine learning Logistic regression Multinomial logit Mean squared error Training set Loss function Statistical classification Supervised learning Book:Machine Learning - The Complete Guide Statistics Econometrics Regression analysis

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