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Linear probability model
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51	Generalized Linear Models: A subclass of nonlinear models with a \linear" component Data: (Y1; XT1 ) Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2003-04-23 08:15:50 Probability and statistics Exponentials Actuarial science Generalized linear model Exponential family Poisson distribution Baker–Campbell–Hausdorff formula Laplace distribution Statistics Mathematical analysis Regression analysis
52	Submission to CONSTRAINTS Stochastic Constraint Programming: A Scenario-Based Approach Abstract To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic cons Add to Reading List Source URL: www.cse.unsw.edu.au Language: English - Date: 2006-01-21 00:55:03 Computer programming Constraint satisfaction Stochastic Constraint optimization Mathematical optimization Random variable Linear programming Constraint logic programming Stochastic modelling Constraint programming Software engineering Mathematics
53	M PRA Munich Personal RePEc Archive Modeling Violence against Women in India: Theories and Problems Rituparna Das Add to Reading List Source URL: mpra.ub.uni-muenchen.de Language: English - Date: 2013-02-14 04:13:14 Probit Logistic regression Ordinary least squares Heteroscedasticity Linear probability model Normal distribution Variable Maximum likelihood Endogeneity Statistics Regression analysis Econometrics
54	Log-Linear Approach to Discriminative Training NIPS 2008 Workshop “Speech and Language: Learning-based Methods and Systems” Ralf Schl¨ uter, Georg Heigold, and Hermann Ney Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-01-03 02:48:23 Discriminative model Generative model Expectation–maximization algorithm Pattern recognition Conditional random field Speech recognition Log-linear model Hidden Markov model Maximum likelihood Statistics Machine learning Probability and statistics
55	Measuring Causal Effects in Partial Mediated Models without Experiments J. Hess In the traditional linear, normal version of the partial mediated model, the above graph corresponds to the equations X=eX, M=aX+eM=aeX+eM, Add to Reading List Source URL: bauer.uh.edu Language: English - Date: 2008-12-02 17:33:37 Information theory Statistical dependence Independence Probability theory Causality Graph Bayesian network Conditional mutual information Graph theory Mathematics Theoretical computer science
56	Conditional Random Fields via Univariate Exponential Families Eunho Yang Department of Computer Science University of Texas at Austin Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-11-14 22:48:54 Probability theory Graphical models Regression analysis Theoretical computer science Exponentials Conditional random field Generalized linear model Sufficient statistic Normal distribution Statistics Probability and statistics Probability
57	Session 4A: Model comparison and prediction John Geweke Bayesian Econometrics and its Applications August 16, 2012 Add to Reading List Source URL: www.szgerzensee.ch Language: English - Date: 2013-01-11 10:04:38 Probability theory Regression analysis Model selection Bayes factor Bayesian inference Marginal likelihood Linear regression Bayesian econometrics Probability space Statistics Bayesian statistics Econometrics
58	RMM Vol. 2, 2011, 146–178 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Aris Spanos Add to Reading List Source URL: www.rmm-journal.de Language: English - Date: 2011-10-27 11:24:50 Statistical theory Estimation theory Econometrics Psychometrics Confidence interval Probability interpretations Linear regression Statistical model Statistical power Statistics Science Statistical inference
59	Similarity, Approximations and Vagueness Patrick Doherty1 , Witold Łukaszewicz2 , and Andrzej Szałas1,[removed]Department of Computer Science, University of Linköping, Sweden Add to Reading List Source URL: www.ida.liu.se Language: English - Date: 2012-02-09 03:43:13 Independence Measure theory Linear algebra Logic Sigma-algebra Probability theory Metalogic Model theory
60	NISS Estimating Hunting Success Rates via Bayesian Generalized Linear Models Roger Woodard, Dongchu Sun, Zhuoqiong He, and Steven L. Sheriff Add to Reading List Source URL: www.niss.org Language: English - Date: 2004-01-21 15:19:56 Bayesian inference Estimation theory Statistical models Prior probability Generalized linear model Bayes estimator Statistical power Normal distribution Degrees of freedom Statistics Bayesian statistics Regression analysis

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