INDEPENDENT COMPONENT ANALYSIS APPLIED TO FMRI DATA: A NATURAL MODEL AND ORDER SELECTION V. Calhoun1,2, T. Adali2, G. Pearlson1 1 Johns Hopkins University Div. of Psychiatric Neuro-Imaging, 600 N. Wolfe St., Baltimore, M

Source URL: www.nrc-iol.org

Fast Rates for Estimation Error and Oracle Inequalities for Model Selection Peter L. Bartlett Computer Science Division and Department of Statistics University of California, Berkeley

Source URL: www.stat.berkeley.edu

Econometric Theory, 21, 2005, 60–68+ Printed in the United States of America+ DOI: 10+10170S0266466605050048 CHALLENGES FOR ECONOMETRIC MODEL SELECTION BRU CE E. HAN S EN

Source URL: www.ssc.wisc.edu

Model selection Large scale model selection Summary and open problems Model Selection and Computational Oracle Inequalities for Large Scale Problems

Source URL: www.stat.berkeley.edu

• Econometrics
• Statistical theory
• Regression analysis
• Estimation theory
• Linear regression
• Feature selection
• Model selection
• Support vector machine
• Loss function
• Oracle Database
• Natural selection
• Prediction

Journal of Machine Learning Research1227 Submitted 5/02; Published 3/03 Extensions to Metric-Based Model Selection Yoshua Bengio

Source URL: www.jmlr.org

Preface How does one decide among competing explanations of data given limited observations? This is the problem of model selection. A central concern in model selection is the danger of overfitting: the selection of a

Source URL: www.mdl-research.net

Fast Rates for Estimation Error and Oracle Inequalities for Model Selection Peter L. Bartlett Computer Science Division and Department of Statistics University of California, Berkeley

Source URL: www.stat.berkeley.edu

Model Selection and Sharp Asymptotic Minimaxity Zheyang Wu1 and Harrison H. Zhou2 Worcester Polytechnic Institute and Yale University December 13, 2011 Abstract

Source URL: www.stat.yale.edu

Ann Inst Stat Math:943–961 DOIs10463x Change-point model selection via AIC Yoshiyuki Ninomiya

Source URL: www.ism.ac.jp

Parallel Feature Selection inspired by Group Testing Yingbo Zhou∗ Utkarsh Porwal∗ CSE Department SUNY at Buffalo {yingbozh, utkarshp}@buffalo.edu

Source URL: papers.nips.cc

• Statistics
• Statistical classification
• Computer programming
• Data
• Machine learning
• Model selection
• Nonparametric statistics
• Support vector machine
• Feature selection
• Test set
• Separable space
• Recursion