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Multinomial logistic regression
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21	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
22	A comparative analysis of implicit and explicit methods to model choice set generation Michel Bierlaire Ricardo Hurtubia Gunnar Flötteröd Add to Reading List Source URL: www.strc.ch Language: English - Date: 2009-09-16 13:42:09 Statistics Regression analysis Statistical models Choice modelling Discrete choice Multinomial logistic regression Logistic regression Expected utility hypothesis Logit Decision-making Mixed logit Mode choice
23	line Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-12-12 11:33:17 Statistics Mathematical analysis Mathematics Operations research Regression analysis Statistical models Estimation theory Mathematical optimization Multinomial logistic regression Discrete choice Maximum likelihood estimation Linear programming
24	Photo or figure (optional) Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-11-28 01:55:05 Regression analysis Statistics Choice modelling Statistical models Discrete choice Economics Multinomial logistic regression Logistic regression Sampling NLOGIT Choice model simulation
25	Recent developments regarding similarities in transport modelling Nadine Schuessler Kay W. Axhausen STRC 2007 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-11-24 07:42:20 Choice modelling Statistical models Discrete choice Mode choice Independence of irrelevant alternatives Multinomial logistic regression Choice set Economic model Scientific modelling Logit Preference Mixed logit
26	PDF Document Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-12-12 11:46:24 Regression analysis Choice modelling Statistical models Discrete choice Mode choice Multinomial logistic regression Correlation and dependence Homoscedasticity Logistic regression Mixed logit Choice model simulation
27	Integrated schedule planning with supply-demand interactions Bilge Atasoy Matteo Salani Michel Bierlaire Add to Reading List Source URL: www.strc.ch Language: English - Date: 2011-05-10 11:14:15 Choice modelling Regression analysis Statistical models Discrete choice Logit Logistic regression Supply and demand Multinomial logistic regression
28	The Network GEV model Michel Bierlaire, EPFL Conference paper STRC 2002 The Network GEV model Add to Reading List Source URL: www.strc.ch Language: English - Date: 2009-01-19 10:01:38 Regression analysis Statistical models Single-equation methods Choice modelling Discrete choice Logit Multinomial logistic regression Logistic regression
29	Properties, Advantages, and Drawbacks of the Block Logit Model Jeffrey Newman Michel Bierlaire STRC 2009 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2009-09-16 14:38:15 Statistics Regression analysis Statistical models Statistical theory Estimation theory Categorical data Discrete choice Logit Mode choice Multinomial logistic regression Likelihood-ratio test Logistic regression
30	Time at destination and transportation mode: a discrete-continuous choice approach to Swiss tourism demand. Andrea Pellegrini, University of Lugano (USI – Switzerland) Conference paper STRC 2015 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2015-05-18 09:22:34 Statistics Choice modelling Statistical models Regression analysis Discrete choice Economics Economy Kenneth E. Train Multinomial logistic regression Logistic regression Probability distribution Tourism

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