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Regression analysis
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#	Item
981	Parallel Large Scale Feature Selection for Logistic Regression Sameer Singh, University of Massachusetts Amherst MA 01003 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-01-28 18:57:39 Feature selection Logistic regression Random forest Stepwise regression Mathematical optimization Support vector machine Algorithm Statistics Regression analysis Iteratively reweighted least squares
982	Microsoft Word - Two Stage Fama Macbeth 〰㌀0〮docx Add to Reading List Source URL: www.jasonhsu.org Language: English - Date: 2012-05-28 19:43:51 Mathematical finance Financial markets Econometrics Fama–MacBeth regression Actuarial science Arbitrage pricing theory Capital asset pricing model Beta Factor analysis Financial economics Economics Statistics
983	Econometric Theory, 18, 2002, 1309–1335+ Printed in the United States of America+ DOI: 10+10170S0266466602186026 REGRESSION THEORY FOR NEARLY COINTEGRATED TIME SERIES MI C H A E L JA N S S O N Add to Reading List Source URL: eml.berkeley.edu Language: English - Date: 2003-10-08 23:49:40 Mathematical finance Econometrics Time series analysis Cointegration
984	Submitted to the Annals of Statistics RISK OF PENALIZED LEAST SQUARES, GREEDY SELECTION AND `1 -PENALIZATION FOR FLEXIBLE FUNCTION LIBRARIES B Y C ONG H UANG , G ERALD H. L. C HEANG Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2008-03-21 22:31:14 Regression analysis Least squares Big O notation Convex function Linear regression Derivative Exponentiation Smoothing spline Reduction Mathematical analysis Mathematics Statistics
985	Feature Selection using Multiple Streams Paramveer S. Dhillon Computer and Information Science University of Pennsylvania Philadelphia, PA, U.S.A Add to Reading List Source URL: www.pdhillon.com Language: English - Date: 2010-10-01 23:38:39 Model selection Dimension reduction Feature selection Support vector machine Stepwise regression Regularization Supervised learning Gmax Lasso Statistics Regression analysis Machine learning
986	Validating Models for Disease Detection Using Twitter Todd Bodnar Marcel Salathé Pennsylvania State University Add to Reading List Source URL: www.salathegroup.com Language: English - Date: 2013-03-27 15:51:16 Data analysis Actuarial science Twitter Influenza Linear regression Data mining Support vector machine Statistics Econometrics Regression analysis
987	THE REDUCED FORM: A SIMPLE APPROACH TO INFERENCE WITH WEAK INSTRUMENTS VICTOR CHERNOZHUKOV AND CHRISTIAN HANSEN† Abstract. In this paper, we consider simple and practical methods for performing heteroskedasticity and a Add to Reading List Source URL: faculty.chicagobooth.edu Language: English - Date: 2006-03-07 15:17:08 Regression analysis Parametric statistics Statistical inference Instrumental variable Linear regression Simultaneous equations model T-statistic Heteroscedasticity Autocorrelation Statistics Econometrics Estimation theory
988	Summer School on Multidimensional Poverty Analysis 11–23 August 2014 Oxford Department of International Development Queen Elizabeth House, University of Oxford Add to Reading List Source URL: www.ophi.org.uk Language: English - Date: 2014-08-22 06:46:18 Regression analysis Multivariate statistics Psychometrics Structural equation modeling Poverty Analysis Statistics Econometrics Statistical methods
989	The 20 th Annual R. A. Blyth Lectures in Mathematics W H AT ’ S T H E B I G D E A L A B O U T “ B I G DATA” ? EMERGENT PHENOMENA IN HIGH-DIMENSIONAL Add to Reading List Source URL: www.math.toronto.edu Language: English - Date: 2015-02-10 14:14:59 Statistical theory Regression analysis Stochastic differential equations Statistics Estimation theory Control theory
990	0.1 normal: Normal Regression for Continuous Dependent Variables The Normal regression model is a close variant of the more standard least squares regression model (see Section ??). Both models specify a continuous depe Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Statistical models Actuarial science Estimation theory Linear regression Dummy variable Least squares Errors and residuals in statistics Normal distribution Heteroscedasticity Statistics Regression analysis Econometrics