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Multinomial logistic regression
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11	Statistics 149 Statistical Sleuthing through Generalized Linear Models Spring 2016 Lectures: Mon/Wed, 1:00pm–2:30pm, Sci Ctr E Instructor: Mark E. Glickman, Sci Ctr 605 E-mail: Add to Reading List Source URL: www.glicko.net Language: English - Date: 2016-07-26 13:40:09 Regression analysis Econometrics Actuarial science Statistical models Scientific method Logistic regression Generalized linear model Generalized additive model Prediction Homework Multinomial logistic regression Statistics
12	JOINT ASSOCIATION DISCOVERY AND DIAGNOSIS OF ALZHEIMER’S DISEASE BY SUPERVISED HETEROGENEOUS MULTIVIEW LEARNING SHANDIAN ZHE1 , ZENGLIN XU1 , YUAN QI1,2 , PENG YU3 , FOR THE ADNI∗ 1 Add to Reading List Source URL: psb.stanford.edu Language: English - Date: 2015-08-18 15:12:41 Regression analysis Econometrics Multivariate statistics Generalized linear models Ordinal regression Multinomial logistic regression Variational Bayesian methods IJ Linear regression
13	An Analysis of the Determinants of Household Energy Expenditures: Empirical Evidence from the Irish Household Budget Survey by John Eakins Submitted for the Degree of Doctor of Philosophy in Economics Add to Reading List Source URL: www.seec.surrey.ac.uk Language: English - Date: 2014-12-23 10:22:15 Regression analysis Statistics Categorical data Energy Choice modelling Discrete choice Efficient energy use Logit Limited dependent variable Water heating Ordered logit Multinomial logistic regression
14	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
15	Modeling Documents with a Deep Boltzmann Machine Nitish Srivastava Ruslan Salakhutdinov Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-07-13 11:35:04 Artificial neural networks Statistics Applied mathematics Machine learning Multinomial logistic regression Restricted Boltzmann machine Boltzmann machine Latent Dirichlet allocation Logistic function Multimodal learning Deep learning
16	Microsoft Word - Scagnolari_Maggi_2010.docx Add to Reading List Source URL: www.strc.ch Language: English - Date: 2010-08-28 08:10:44 Choice modelling Statistical models Regression analysis Categorical data Microeconomics Discrete choice Mixed logit Multinomial logistic regression Logit Logistic regression Rational choice theory Preference
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	ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook Add to Reading List Source URL: intelligent-optimization.org Language: English - Date: 2015-10-06 09:20:21 Statistics Regression analysis Logistic regression Linear regression Logistic function Statistical classification Comparison of general and generalized linear models Multinomial logistic regression
20	Start: Haugesund, Rogaland, Norway End: Trondheim, Sør-Trøndelag, Norway Total Distance: Miles Estimated Total Time: 47 hours, 31 minutes Source: http://www.mappoint.msn.com (Jan 31, 2005) Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-12-12 11:41:35 Statistical models Choice modelling Single-equation methods Regression analysis Discrete choice Mixed logit Multinomial logistic regression Shortest path problem Logit Probit Logistic regression Pairwise comparison