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Stepwise regression
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1	Getting the Most Out of Macroeconomic Information for Predicting Stock Returns and Volatility ∗ Cem C ¸ akmaklı† Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2010-11-22 03:32:16 Statistics Regression analysis Econometrics Linear regression Volatility Stepwise regression Economic model Forecasting Prediction Economic forecasting Predictive analytics Unit-weighted regression
2	Microsoft PowerPoint - 5_Model_Selection.pptx Add to Reading List Source URL: www.dote.osd.mil Language: English - Date: 2015-05-20 16:42:48 Statistical models Regression analysis Statistical theory Factor analysis Multivariate statistics Model selection Data analysis Stepwise regression Statistics Exploratory data analysis Regression validation Multivariate analysis
3	CONSIDERING UNCERTAINTIES WITHIN AN EMERGENCY PREDICTION MODEL IN AN URBAN ENVIRONMENT Tonio Fincke, Jochen Schiewe, and Karl-Peter Traub Lab for Geoinformatics and Geovisualization(g 2 lab) HafenCity University Hamburg Add to Reading List Source URL: www.geomatik-hamburg.de Language: English - Date: 2016-02-21 11:26:49 Econometrics Regression analysis Actuarial science Stepwise regression Ambulance Emergency service Prediction
4	Non-parametric Regression with Basis Selection from Multiple Libraries Jeffrey C. Sklar, Junqing Wu, Wendy Meiring, and Yuedong Wang ∗ Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2012-09-20 13:04:02 Regression analysis Statistical methods Model selection Machine learning Multivariate adaptive regression splines Econometrics Stepwise regression Akaike information criterion Smoothing spline Bayesian information criterion
5	The Annals of Applied Statistics 2014, Vol. 8, No. 3, 1750–1781 DOI: AOAS755 © Institute of Mathematical Statistics, 2014 VARIABLE SELECTION FOR BART: AN APPLICATION Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2015-10-29 18:32:57 Statistics Statistical inference Estimation theory Regression analysis Nonparametric regression Linear regression Machine learning Stepwise regression Decision tree learning Spike-and-slab variable selection Omnibus test
6	Honest Confidence Intervals for the Error Variance in Stepwise Regression Dean P. Foster and Robert A. Stine Department of Statistics The Wharton School of the University of Pennsylvania Philadelphia, PA Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2006-03-15 16:51:58
7	Microsoft Word - strc06-14.doc Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-11-28 02:28:04 Statistics Regression analysis Linear regression Multilevel model Accessibility Stepwise regression Dependent and independent variables Coefficient of determination
8	Microsoft Word - D10_KCL.doc Add to Reading List Source URL: www.cru.uea.ac.uk Language: English - Date: 2010-02-11 07:30:42 Non-parametric statistics Actuarial science Linear regression Rain Stepwise regression Resampling Precipitation Statistics Regression analysis Econometrics
9	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
10	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