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Least absolute deviations
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1	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
2	Scaling SVM and Least Absolute Deviations via Exact Data Reduction Add to Reading List Source URL: peterwonka.net Language: English - Date: 2014-10-11 17:13:54 Statistical classification Statistical theory Econometrics Regression analysis Support vector machine Loss function Elastic net regularization
3	Quantile Regression for Large-scale Applications Jiyan Yang ICME, Stanford University, Stanford, CA 94305 Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2013-05-09 18:59:32 Quantile regression Summary statistics Estimation theory Linear regression Quantile Randomized algorithm Least absolute deviations Statistics Regression analysis Econometrics
4	Notes 3 Statistical Machine Learning Linear Methods Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:36 Econometrics Estimation theory Machine learning Least squares Least absolute deviations Linear regression Regularization Elastic net regularization Tikhonov regularization Statistics Regression analysis Mathematical optimization
5	Notes 4 Statistical Machine Learning Linear Methods Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:34 Econometrics Estimation theory Least squares Least absolute deviations Linear regression Regularization Elastic net regularization Tikhonov regularization Support vector machine Statistics Regression analysis Mathematical optimization
6	C Analytical Methods Dynamic Article Links < Add to Reading List Source URL: www.rsc.org Language: English - Date: 2014-08-20 04:20:10 Robust regression Least squares Plot Theil–Sen estimator Least absolute deviations Statistics Regression analysis Linear regression
7	A Graphically Motivated, Non-Calculus Derivation of Formulas for Linear Regression S. M. Zoltek¤ S. S. Dicky Department of Mathematical Sciences and Add to Reading List Source URL: archives.math.utk.edu Language: English - Date: 1997-11-05 00:00:00 Least squares Linear regression Slope Line Distance Least absolute deviations Simple linear regression Statistics Regression analysis Mathematics
8	Proceedings IEEE International Conference on Systems, Man, and Cybernetics, Chicago, Illinois, October 18-21, 1992 Global Rd Optimization when Probes are Expensive: the GROPE Algorithm John F. Elder IV Department of Sys Add to Reading List Source URL: datamininglab.com Language: English Mathematical sciences Delaunay triangulation Nelder–Mead method Simplex Mathematical optimization Variance Regression analysis Least absolute deviations Algorithm Statistics Operations research Mathematics
9	A Robust Variable Selection Method for Grouped Data Kristin Lilly and Nedret Billor Auburn University, Department of Mathematics & Statistics, 221 Parker Hall, Auburn University, Alabama[removed]An example of grouped data Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 15:47:32 Econometrics Mathematical optimization Lasso Linear regression Least absolute deviations Robust regression Multicollinearity Feature selection Outlier Statistics Regression analysis Robust statistics
10	PDF Document Add to Reading List Source URL: www-eio.upc.es Language: English - Date: 2012-10-01 09:57:46 Standard deviation Absolute deviation Least squares Large deviations theory Statistics Mathematical optimization Data analysis