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Maximum theorem
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21	USING THE METHOD OF NEARBY MEASURES IN SUPERPOSITION CODING WITH A BERNOULLI DICTIONARY Cynthia Rush and Andrew R. Barron, Department of Statistics, Yale University, New Haven, CTemail: {cynthia.rush, andrew.barro Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2014-01-08 19:58:53 Information theory Philosophy of thermal and statistical physics Normal distribution Entropy Central limit theorem Principle of maximum entropy Kullback–Leibler divergence Constructible universe Statistics Statistical theory Probability and statistics
22	c27d, :51 CHAPTER 27 Add to Reading List Source URL: omega.albany.edu Language: English - Date: 2005-09-22 15:53:38 Probability and statistics Entropy Principle of maximum entropy Channel Communication theory Coding theory Noisy-channel coding theorem Entropy in thermodynamics and information theory Information theory Information Statistics
23	A geometric characterization of c-optimal designs for heteroscedastic regression Holger Dette Tim Holland-Letz Add to Reading List Source URL: www.statistik.tu-dortmund.de Language: English - Date: 2009-01-12 11:08:18 Regression analysis Design of experiments Econometrics Fisher information Maximum likelihood Linear regression Optimal design Dimensional analysis Hájek–Le Cam convolution theorem Statistics Estimation theory Statistical theory
24	CME 305: Discrete Mathematics and Algorithms Instructor: Professor Amin Saberi () Midterm – Problem 1. Show that a graph has a unique minimum spanning tree if, for every cut of the graph, th Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-03-23 01:43:36 Combinatorial optimization Minimum spanning tree Spanning tree Job shop scheduling Maximum flow problem Max-flow min-cut theorem Cut Connectivity David Shmoys Graph theory Mathematics Theoretical computer science
25	A Z-theorem with Estimated Nuisance Parameters and Correction Note for ‘Weighted Likelihood for Semiparametric Models and Two-phase Stratified Samples, with Application to Cox Regression’ Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2009-06-25 19:10:10 Empirical process Probability theory Glivenko–Cantelli theorem Maximum likelihood Statistics Statistical theory Non-parametric statistics
26	Optimization Algorithms Lecture 23: Maximum Flows and Minimum Cuts [Fa’13] Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2014-12-28 08:41:28 Combinatorics Maximum flow problem Ford–Fulkerson algorithm Flow network Edmonds–Karp algorithm Max-flow min-cut theorem Minimum cut Cut Graph Network flow Graph theory Mathematics
27	Estimate of maximum insurance loss due to bushfires Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 22:19:49 Extreme value theory Black Saturday bushfires Normal distribution Q-Q plot Bushfires in Australia Canberra bushfires CLEO Xi Central limit theorem Statistics Summary statistics Generalized extreme value distribution
28	Numerical examination of competitive and predatory behaviour for the Lotka-Volterra equations with diffusion based on the maximum-minimum theorem and the one-sided maximum principle Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-16 21:16:08 Population ecology Population Mathematical modeling Reaction–diffusion system Competitive Lotka–Volterra equations Partial differential equation Lotka–Volterra equation Alfred J. Lotka Community matrix Differential equations Mathematical analysis Mathematics
29	PDF Document Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2014-12-28 09:03:11 Theoretical computer science Maximum flow problem Flow network Minimum-cost flow problem Ford–Fulkerson algorithm Edmonds–Karp algorithm Shortest path problem Matching Max-flow min-cut theorem Graph theory Mathematics Network flow
30	Information Theory and Coding Computer Science Tripos Part II, Michaelmas Term 11 Lectures by J G Daugman 1. Foundations: Probability, Uncertainty, and Information 2. Entropies Defined, and Why they are Measures of Infor Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2008-10-20 07:18:56 Mathematical analysis Statistical theory Digital signal processing Fourier analysis Unitary operators Entropy Principle of maximum entropy Mutual information Noisy-channel coding theorem Statistics Information theory Mathematics

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