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81	Empirical and multiplier bootstrap for suprema of empirical processes of increasing complexity, and related Gaussian couplings. Victor Chernozhukova , Denis Chetverikovb , Kengo Katoc a Add to Reading List Source URL: www.econ.ucla.edu Language: English - Date: 2015-05-27 16:36:02 Continuous function Envelope Measure theory Fourier analysis Essential range Itō diffusion Mathematical analysis Mathematics Normal distribution
82	Press Release: For Immediate Distribution Millennium Space Launches First Round of Commercial Bootstrap™ Initiative Selected government and commercial partners will have immediate and affordable access to space. EL SEG Add to Reading List Source URL: www.millennium-space.com Language: English - Date: 2014-12-23 18:58:05
83	Supplemental Appendix for “Block bootstrap consistency under weak assumptions” Gray Calhoun∗ 6 October, 2014 Abstract Add to Reading List Source URL: gray.clhn.org Language: English - Date: 2015-07-20 00:02:10 Modular forms Elliptic functions
84	Bootstrap guide for the Seafile / Wiki Maintained by Andrea Giudici – last revision Introduction Add to Reading List Source URL: wavelab.ioc.ee Language: English - Date: 2014-01-24 06:25:39
85	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: voteview.com Language: English - Date: 2012-06-14 10:28:10
86	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
87	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
88	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
89	Measuring Bias and Uncertainty in DW-NOMINATE Ideal Point Estimates via the Parametric Bootstrap Preliminary Draft, please do not cite without permission Royce Carroll Add to Reading List Source URL: voteview.com Language: English - Date: 2013-11-20 15:56:09
90	Measuring Bias and Uncertainty in DW-NOMINATE Ideal Point Estimates via the Parametric Bootstrap Preliminary Draft, please do not cite without permission Royce Carroll Add to Reading List Source URL: www.voteview.com Language: English - Date: 2013-11-20 15:56:09 Estimation theory Data analysis NOMINATE Bootstrapping Logistic regression Normal distribution Maximum likelihood Parameter Exponential distribution Statistics Statistical inference Statistical theory

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