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Generalized linear model
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161	PDF Document Add to Reading List Source URL: math.agrocampus-ouest.fr Language: English - Date: 2011-12-19 09:51:24 Robert Tibshirani Regularization Machine learning Linear regression Tikhonov regularization Logistic regression Generalized linear model LogitBoost Additive model Statistics Regression analysis Elastic net regularization
162	PDF Document Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2014-08-19 20:43:32 Econometrics Actuarial science Scientific method Linear regression Generalized linear model Data analysis Time series Mixed model Analysis of variance Statistics Regression analysis Parametric statistics
163	Correlated Component Regression (CCR) Use this module to model and predict a designated dependent variable Y (continuous or dichotomous) from a set of P correlated explanatory variables (predictors) X = (X1, X2, … , XP Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-09-22 15:25:17 Partial least squares regression Linear regression Linear discriminant analysis Multicollinearity Generalized linear model Least squares Cross-validation Multinomial logit Nonparametric regression Statistics Regression analysis Logistic regression
164	Dias, S., Welton, N. J., Sutton, A. J., & Ades, A. ENICE DSU Technical Support Document 2: A Generalised Linear Modelling Framework for Pairwise and Network Meta-Analysis of Randomised Controlled Trials. (Techn Add to Reading List Source URL: research-information.bristol.ac.uk Language: English - Date: 2012-10-30 09:58:07 Actuarial science Epidemiology Medical statistics Markov models Randomized controlled trial Meta-analysis Generalized linear model Placebo Bayesian inference Statistics Science Clinical research
165	16 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 15, NO. 1, JANUARY 2004 The Generalized LASSO Volker Roth Add to Reading List Source URL: cs-wwwarchiv.cs.unibas.ch Language: English - Date: 2009-09-16 12:22:16 Supervised learning Support vector machine Relevance vector machine Regularization Iteratively reweighted least squares Generalized linear model Linear least squares Ordinary least squares Linear regression Statistics Regression analysis Least squares
166	A Fast Parsimonious Maximum Likelihood Approach for Predicting Outcome Variables from a Large Number of Predictors Jay Magidson Statistical Innovations Inc. Belmont, Massachusetts, United States jay@statisticalinnovation Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2012-06-18 09:40:05 Statistical models Actuarial science Single equation methods Logistic regression Linear regression Dummy variable Partial least squares regression Least squares Generalized linear model Statistics Regression analysis Econometrics
167	International Differences in 30-day Mortality following Acute Myocardial Infarction: Statistical Analysis of Site Level Data from the HERO-2 Trial Ling Li∗ Malcolm Hudson† October 31, 2005 Add to Reading List Source URL: stat.mq.edu.au Language: English - Date: 2009-07-18 23:01:11 Actuarial science Statistical models Aging-associated diseases Generalized linear model Data analysis Myocardial infarction Poisson regression Binomial regression Statistics Regression analysis Econometrics
168	LimsPortal and BonsaiLIMS: development of a lab information management system for translational medicine Add to Reading List Source URL: www.scfbm.org Language: English Logistic regression Separation SAS Statistical power Odds ratio Degrees of freedom Coefficient of determination Generalized linear model Statistics Regression analysis Linear regression
169	A Generalized Linear Model for Principal Component Analysis of Binary Data January 6, 2003 Andrew I. Schein, Lyle H. Ungar and Lawrence K. Saul. Add to Reading List Source URL: www.andrewschein.com Language: English - Date: 2011-08-13 15:18:47 Dimension reduction Feature extraction Maximum likelihood Normal distribution Kernel principal component analysis Statistics Multivariate statistics Principal component analysis
170	Probabilistic Linear Discriminant Analysis with Bottleneck Features for Speech Recognition Liang Lu, Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh, UK {liang.lu, s.renals}@ed.ac.u Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2014-10-07 17:17:05 Multivariate statistics Estimation theory Computer accessibility Speech recognition Generalized method of moments Linear discriminant analysis Hidden Markov model Speaker recognition Statistics Automatic identification and data capture Computational linguistics

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