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Resampling
Results: 951

#	Item
661	arXiv:1311.0376v2 [math.AT] 22 Jan[removed]On the Bootstrap for Persistence Diagrams and Landscapes Fr´ed´eric Chazal1 , Brittany Terese Fasy2 , Fabrizio Lecci3 , Alessandro Rinaldo3 , Aarti Singh4 , and Larry Wasserman3 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-01-22 21:49:50 Resampling Confidence interval Normal distribution Confidence band Envelope Probability density function Statistics Statistical inference Bootstrapping
662	MEASURING THE IMPACTS OF TEACHERS I: EVALUATING BIAS IN TEACHER VALUE-ADDED ESTIMATES Raj Chetty, Harvard University and NBER John N. Friedman, Harvard University Jonah E. Rocko¤, Columbia University and NBER April 2014 Add to Reading List Source URL: cep.lse.ac.uk Language: English - Date: 2014-04-25 05:23:11 Standardized test Variance LIFO G factor Covariance Resampling Statistics Teaching Statistical tests
663	Quantitative Association Analysis Using Tree Hierarchies Feng Pan 1 , Lynda Yang 1 , Leonard McMillan 1 , Fernando Pardo Manuel de Villena 2 , David Threadgill 2 and Wei Wang 1 1 Department of Computer Science, 2 Departm Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2008-12-26 20:05:28 Randomness Feature selection Random permutation Variance Sampling Decision tree learning Statistics Resampling Statistical inference
664	Comments on "How much nominal rigidity is there in the US economy? Testing a New Keynesian DSGE Model using indirect inference" by V.P.M. Le, P. Minford, and M. Wickens Masao Ogaki Add to Reading List Source URL: gcoe.ier.hit-u.ac.jp Language: English - Date: 2010-01-20 21:08:15 Resampling Non-parametric statistics Dynamic stochastic general equilibrium Estimator Estimation theory Vector autoregression Statistics Statistical inference Bootstrapping
665	Submitted to the Annals of Statistics BOOTSTRAP CONSISTENCY FOR GENERAL SEMIPARAMETRIC M-ESTIMATION February 11, 2010 By Guang Cheng∗ and Jianhua Z. Huang† Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2010-02-12 00:14:15 Statistical theory Econometrics Statistical models Parametric model Maximum likelihood Bootstrapping Resampling Semiparametric model M-estimator Statistics Estimation theory Statistical inference
666	R ESAMPLING -B ASED M ULTIPLE C OMPARISONS FOR G ENERALIZED L INEAR M ODELS J OSEPHINE S ARPONG A KOSA , MS & A MY WAGLER , P H D T HE U NIVERSITY OF T EXAS AT E L PASO A BSTRACT Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 16:02:38 Statistical models Statistical inference Estimation theory Maximum likelihood Generalized linear model STING Resampling T-statistic Linear model Statistics Regression analysis Actuarial science
667	INVESTIGATION Rapid and Robust Resampling-Based Multiple-Testing Correction with Application in a Genome-Wide Expression Quantitative Trait Loci Study Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2012-05-29 15:58:56 Statistical genetics Statistical inference Classical genetics Hypothesis testing Genome-wide association study Resampling Bootstrapping Expression quantitative trait loci Single-nucleotide polymorphism Statistics Biology Genetics
668	From Simulating Data with SAS®. Full book available for purchase here. Contents Acknowledgments Add to Reading List Source URL: support.sas.com Language: English - Date: 2014-02-03 08:00:20 Econometrics 4GL Business intelligence SAS Resampling Univariate Regression analysis Bootstrapping Simulation Statistics Statistical inference Statistical methods
669	Fast Prediction of New Feature Utility Hoyt Koepke Department of Statistics University of Washington Seattle, WA[removed]Mikhail Bilenko Microsoft Research, Redmond, WA 12345 Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:08 Statistical inference Gradient boosting Kullback–Leibler divergence Lambda calculus Statistics Spectral theory Resampling
670	Sample size determination for regularized logistic regression-based classification Sandra Safo1 and Kevin K. Dobbin2 1 2 Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-29 14:51:55 Econometrics Data analysis Statistical inference Logistic regression Training set Resampling Statistical classification Random forest Statistics Regression analysis Machine learning

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