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Maximum theorem
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61	Multicommodity Max-Flow Min-Cut Theorems and Their Use in Designing Approximation Algorithms TOM LEIGHTON Massachusetts Institute of Technology, Cambridge, Massachusetts AND Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2011-11-19 02:38:52 Network flow Combinatorial optimization Flow network Maximum flow problem Minimum cut Cut Max-flow min-cut theorem Connectivity Graph partition Mathematics Graph theory Theoretical computer science
62	Chapter 14 Multivariate Distributions[removed]Review of Definitions Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-03-06 09:25:11 Data analysis Multivariate normal distribution Normal distribution Fisher information Maximum likelihood Covariance matrix Central limit theorem Mixture model Principal component analysis Statistics Estimation theory Multivariate statistics
63	CS787: Advanced Algorithms[removed]Lecture 5 addendum: LP Duality Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2009-09-26 00:08:11 Operations research Duality Combinatorial optimization Max-flow min-cut theorem Strong duality Constraint Maximum flow problem Semidefinite programming Mathematical optimization Convex optimization Linear programming
64	Distinct-Value Synopses for Multiset Operations doi:[removed][removed]By Kevin Beyer, Rainer Gemulla, Peter J. Haas, Berthold Reinwald, and Yannis Sismanis Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:17 Statistical inference M-estimators Signal processing Estimator Maximum likelihood Bias of an estimator MinHash Gauss–Markov theorem Kalman filter Statistics Estimation theory Statistical theory
65	Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard ∗ and Andrea Montanari † Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-08-27 17:53:38 Statistical theory M-estimators Parametric statistics Normal distribution Maximum likelihood Ordinary least squares Central limit theorem Bias of an estimator Variance Statistics Estimation theory Regression analysis
66	METHODOLOGY Ph.D. EXAM August 2009 INSTRUCTIONS FOR STUDENTS: 1. DO NOT put your NAME on the exam. Place the NUMBER assigned to you on the UPPER LEFT HAND CORNER of EACH PAGE of your Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2010-02-16 12:47:16 Least squares Parametric statistics Econometrics Normal distribution Ordinary least squares Maximum likelihood Gauss–Markov theorem Linear least squares Variance Statistics Regression analysis Estimation theory
67	Appendix 5.1 Proof of Theorem 3 Theorem 3 is the main technical result of this paper. Proofs of other utility results (Theorem 4, Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2011-12-21 08:46:14 Maximum likelihood Estimation theory Statistics Statistical theory
68	1 Lecture 16. Lehmann-Scheﬀ´ e Theorem 16.1 Deﬁnition Suppose that Y is a suﬃcient statistic for θ. We say that Y is complete if there are Add to Reading List Source URL: www.math.uiuc.edu Language: English - Date: 2013-08-30 13:01:46 Maximum likelihood Completeness Bayes estimator Rao–Blackwell theorem Loss function Fisher information Simple extension Statistics Statistical theory Estimation theory
69	Probability & Statistics Primer Gregory J. Hakim University of Washington 2 January 2009 v2.0 This primer provides an overview of basic concepts and definitions in probability and Add to Reading List Source URL: www.atmos.washington.edu Language: English - Date: 2009-01-03 16:22:21 Mathematical analysis Conditional probability Independence Normal distribution Variance Maximum likelihood Joint probability distribution Probability density function Central limit theorem Statistics Probability theory Probability and statistics
70	“What’s New in Econometrics” Lecture 15 Generalized Method of Moments and Empirical Likelihood Add to Reading List Source URL: www.nber.org Language: English - Date: 2007-07-30 09:59:37 Maximum likelihood M-estimator Estimator Dimensional analysis Extremum estimator Hájek–Le Cam convolution theorem Estimation theory Statistics Generalized method of moments

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