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Maximum theorem
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71	Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi† Michael I. Jordan∗ Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-08-20 20:23:29 M-estimators Maximum likelihood Hájek–Le Cam convolution theorem Estimation theory Statistics Statistical theory
72	Maximum Margin Output Coding Yi Zhang Machine Learning Department, Carnegie Mellon University Jeff Schneider The Robotics Institute, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-02-04 21:31:00 Mathematics Error detection and correction Telecommunications engineering Communication Noisy-channel coding theorem Channel capacity List decoding Coding theory Information theory Information
73	Studies in Nonlinear Dynamics & Econometrics A Maximum Score Test for Binary Response Models Journal: Add to Reading List Source URL: economics.olemiss.edu Language: English - Date: 2013-04-04 14:43:13 Parametric statistics Econometrics M-estimators Maximum likelihood Linear regression Parametric model T-statistic Extremum estimator Hájek–Le Cam convolution theorem Statistics Estimation theory Statistical theory
74	Path Properties of Multigenerational Samples from Branching Processes Jim Kuelbs Department of Mathematics University of Wisconsin Madison, WI[removed] Add to Reading List Source URL: mason.gmu.edu Language: English - Date: 2008-05-07 15:35:36 Probability theory Martingale theory Central limit theorem Law of the iterated logarithm Maximum likelihood Brownian motion Borel–Cantelli lemma Large deviations theory Wiener process Statistics Mathematical analysis Stochastic processes
75	On the Capacity of Precision-Resolution Constrained Systems Moshe Schwartz California Institute of Technology 1200 E California Blvd., Mail Code[removed] Add to Reading List Source URL: www.paradise.caltech.edu Language: English - Date: 2006-01-26 17:39:13 Simple extension Statistical theory Statistical inference Hájek–Le Cam convolution theorem Maximum likelihood Estimation theory Symbol Statistics
76	Abstract flows over time: A first step towards solving dynamic packing problems? Jan-Philipp W. Kappmeier, Jannik Matuschke, and Britta Peis TU Berlin, Institut f¨ ur Mathematik, Straße des 17. Juni 136, 10623 Berlin, Add to Reading List Source URL: www.redaktion.tu-berlin.de Language: English - Date: 2012-11-12 07:12:44 Combinatorics Maximum flow problem Flow network Dimensional analysis Fluid dynamics Cut Max-flow min-cut theorem Ford–Fulkerson algorithm Network flow Graph theory Mathematics
77	Optimizing Without Derivatives: What Does the No Free Lunch Theorem Actually Say? Loris Serafino Add to Reading List Source URL: www.ams.org Language: English - Date: 2014-07-01 08:28:02 Mathematics Global optimization Maximum a posteriori estimation Genetic algorithm Estimation of distribution algorithm Multidisciplinary design optimization No free lunch in search and optimization Combinatorial optimization Surrogate model Mathematical optimization Statistics Applied mathematics
78	PDF Document Add to Reading List Source URL: www.hks.harvard.edu Language: English - Date: 2014-05-02 10:22:26 Estimation theory Linear regression Estimator Ordinary least squares Probit model Dummy variable Gauss–Markov theorem Least squares Maximum likelihood Statistics Regression analysis Econometrics
79	Efficient distribution estimation for data with unobserved sub-population identifiers Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2012-05-04 11:41:09 M-estimator Efficient estimator Maximum likelihood Consistent estimator Least squares Linear regression Redescending M-estimator Hájek–Le Cam convolution theorem Statistics Estimation theory Estimator
80	Importance Sampling to Compute Likelihoods of Noise-Corrupted SpeechI R. C. van Dalen∗, M. J. F. Gales Engineering Department, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, United Kingdom Abstract One Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:17 Digital signal processing Fourier analysis Normal distribution Estimation theory Central limit theorem Maximum likelihood Dirac delta function Multivariate normal distribution Mixture model Statistics Mathematical analysis Probability and statistics

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