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Multivariate adaptive regression splines
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1	A working guide to boosted regression trees Add to Reading List Source URL: avesbiodiv.mncn.csic.es Language: English - Date: 2009-07-14 19:00:00 Statistics Regression analysis Multivariate adaptive regression splines Logistic regression Linear regression Decision tree learning Prediction Lasso Feature selection Cross-validation Nonparametric regression Predictive analytics
2	Chapter 3 Tree- based Regress ion This chapter describes two different approaches to induce regression trees. We first present the standard methodology based on the minimisation of the squared error. Least squares (LS) r Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Regression analysis Econometrics Estimation theory Mathematical optimization Decision trees Decision tree learning Linear regression Least squares Least absolute deviations Multivariate adaptive regression splines Predictive analytics
3	Methods in Ecology and Evolution 2015, 6, 412–423 doi: 210XSPECIAL FEATURE NEW OPPORTUNITIES AT THE INTERFACE BETWEEN ECOLOGY AND STATISTICS Add to Reading List Source URL: prism.nacse.org Language: English - Date: 2015-04-13 19:30:57 Regression analysis Linear regression Regression dilution Logistic regression Statistics Prediction Dependent and independent variables Generalized linear model Errors and residuals Observational error Multivariate adaptive regression splines
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	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: ftp.cixug.es Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
6	Discussion: Multivariate Adaptive Regression Splines Author(s): Andrew R. Barron and Xiangyu Xiao Reviewed work(s): Source: The Annals of Statistics, Vol. 19, No. 1 (Mar., 1991), ppPublished by: Institute of Math Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2012-10-24 14:18:48
7	Methods in Ecology and Evolution 2015, 6, 412–423 doi: 210XSPECIAL FEATURE NEW OPPORTUNITIES AT THE INTERFACE BETWEEN ECOLOGY AND STATISTICS Add to Reading List Source URL: www.prism.oregonstate.edu Language: English - Date: 2015-04-13 19:30:57 Regression dilution Mean squared error Generalized linear model Logistic regression Multivariate adaptive regression splines Instrumental variable Variance inflation factor Statistics Regression analysis Linear regression
8	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.espol.edu.ec Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
9	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: mirrors.dotsrc.org Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
10	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.cc.uoc.gr Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics

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