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Resampling
Results: 951

#	Item
71	On the Simultaneous Analysis of Clinical and Omics Data - a Comparison of Globalboosttest and Pre-validation Techniques Margret-Ruth Oelker and Anne-Laure Boulesteix Abstract In medical research biostatisticians are oft Add to Reading List Source URL: www.ibe.med.uni-muenchen.de Language: English - Date: 2012-08-18 19:00:07 Non-parametric statistics Machine learning Estimation theory Linear regression Resampling Cross-validation Intelligence quotient Statistical power Boosting Statistics Econometrics Regression analysis
72	Monthly Research Newsletter - May 2015 Add to Reading List Source URL: www.bankofcanada.ca Language: English - Date: 2015-06-03 10:31:30 Financial crises Statistical inference Late-2000s financial crisis Economy of the United States Government debt Resampling European Central Bank Euro Bootstrapping Economics Economic history Statistics
73	Rational Rose - Tomcat_5_UML.md Add to Reading List Source URL: www.monacopropertylistings.com Language: English - Date: 2015-04-11 13:51:54 Data analysis Resampling Statistical inference Booting TeX Application software Statistics Typography Bootstrapping
74	A simple block bootstrap for asymptotically normal out-of-sample test statistics Gray Calhoun∗ Iowa State University Add to Reading List Source URL: gray.clhn.org Language: English - Date: 2015-07-10 00:29:48 Econometrics Estimation theory Hypothesis testing Resampling Bootstrapping T-statistic M-estimator Instrumental variable Generalized method of moments Statistics Statistical inference Statistical tests
75	Under review as a conference paper at ICLRT RAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING Scott E. Reed & Honglak Lee Dept. of Electrical Engineering and Computer Science, University of Michigan Add to Reading List Source URL: www-personal.umich.edu Language: English - Date: 2015-02-07 17:31:33 Statistical inference Ensemble learning Resampling Bootstrapping Semi-supervised learning Supervised learning Bootstrap aggregating Cross-validation Neural network Statistics Machine learning Computational statistics
76	Measuring Bias and Uncertainty in Ideal Point Estimates via the Parametric Bootstrap Jeffrey B. Lewis Department of Political Science University of California, Los Angeles Los Angeles, CA 90095 Add to Reading List Source URL: www.voteview.com Language: English - Date: 2012-06-14 10:28:10 Statistical theory Data analysis Econometrics Bootstrapping Resampling Maximum likelihood Estimator Efficient estimator NOMINATE Statistics Statistical inference Estimation theory
77	Con…dence Sets for Continuous and Discontinuous Functions of Parameters Tiemen Woutersen and John C. Ham University of Arizona, and University of Maryland, IZA, IRP (Madison), IFAU, and IFS October 16, 2013 Abstract. Add to Reading List Source URL: econweb.umd.edu Language: English - Date: 2014-03-25 12:06:36 M-estimators Data analysis Computational statistics Bootstrapping Resampling Maximum likelihood Estimator Delta method Normal distribution Statistics Statistical inference Estimation theory
78	GLOBAL OPTIMISATION OF NEURAL NETWORK MODELS VIA SEQUENTIAL SAMPLING-IMPORTANCE RESAMPLING Jo˜ ao F.G. de Freitas Sue E. Johnson Add to Reading List Source URL: mi.eng.cam.ac.uk - Date: 2000-04-10 07:41:16
79	What Teachers Should Know about the Bootstrap: Resampling in the Undergraduate Statistics Curriculum Tim Hesterberg Google Add to Reading List Source URL: www.amstat.org Language: English - Date: 2014-11-20 07:30:36
80	NON-UNIFORM TO UNIFORM IMAGE RESAMPLING UTILIZING A 2D FARROW STRUCTURE Harish Essaky Sankaran1, Mihail Georgiev2, Atanas Gotchev2 and Karen Egiazarian2 1 Nokia Corporation, Add to Reading List Source URL: ticsp.cs.tut.fi Language: English - Date: 2008-03-20 16:59:45

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