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Probability and statistics
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#	Item
661	NATIONAL MATHEMATICS INITIATIVE (NMI) 9th Thematic Programme (August 2012 – PROBABILITY: THEORY AND APPLICATIONS Add to Reading List Source URL: math.iisc.ernet.in Language: English - Date: 2013-01-07 23:14:00 Randomness Random matrix Random graph Asymptotic analysis Point process Bangalore Gaussian random field Statistics Stochastic processes Markov chain
662	Approximation Algorithms for Unique Games via Orthogonal Separators Lecture notes by Konstantin Makarychev. Lecture notes are based on the papers [CMM06a, CMM06b, LM14]. 1 Add to Reading List Source URL: konstantin.makarychev.net Language: English - Date: 2014-11-22 21:53:55 Normal distribution Applied mathematics Probability and statistics Statistics Analysis of algorithms Probabilistic complexity theory Randomized algorithm
663	NumberShire 1 Pilot Study Results Summary Widespread concern has been expressed about the persistent low mathematics achievement of students in the US, particularly for students from low-income and minority backgrounds a Add to Reading List Source URL: s3-us-west-1.amazonaws.com Language: English - Date: 2014-03-31 17:25:11 Medical statistics Pre- and post-test probability Special education E-learning Education Statistics Evidence-based medicine
664	Accepted for the ICCV Workshop on Dynamical VisionArticulated Motion Segmentation Using RANSAC With Priors Jingyu Yan and Marc Pollefeys University of North Carolina at Chapel Hill Add to Reading List Source URL: www.inf.ethz.ch Language: English - Date: 2005-08-20 14:36:48 Singular value decomposition RANSAC Image processing Data analysis Multivariate statistics Segmentation Prior probability Eigenvalues and eigenvectors Principal component analysis Statistics Algebra Mathematics
665	A Quasi-Sure Approach to the Control of Non-Markovian Stochastic Dierential Equations Marcel Nutz ∗ Add to Reading List Source URL: www.math.columbia.edu Language: English - Date: 2012-06-19 13:30:57 Probability and statistics Probability theory Martingale theory Lipschitz maps Fourier analysis Probability space Ordinal number Conditional expectation Random variable Statistics Stochastic processes Mathematical analysis
666	Appendices A. Simulating Fat Tailed Distributions Suppose one wants to simulate a random variable of zero mean and unit variance, but with a given degree of tail fatness (fourth moment). Sticking to the more-or-less \bel Add to Reading List Source URL: www.mit.edu Language: English - Date: 2003-05-07 11:47:19 Kurtosis RiskMetrics Normal distribution Poisson distribution Standard deviation Probability distribution Variance Variance gamma process Cauchy distribution Statistics Data analysis Summary statistics
667	Randomized Consensus in Expected O(n2 ) Total Work Using Single-Writer Registers James Aspnes? Yale University Abstract. A new weak shared coin protocol yields a randomized waitfree shared-memory consensus protocol that Add to Reading List Source URL: cs-www.cs.yale.edu Language: English - Date: 2015-04-30 10:33:59 Martingale Probability and statistics Statistics Consensus XTR
668	Introduction General Markov theory Graphical independence models Markov properties Summary References Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2012-07-08 13:39:30 Probability and statistics Graphical model Markov chain Markov property COMPASS/Sample Code Statistics Markov models Markov processes
669	Simple math for a complex world: Random walks in biology and finance Jake Hofman Physics Department Columbia University Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2009-01-22 17:20:55 Brownian motion Colloidal chemistry Fractals Robert Brown Random walk Randomness Physics Motion Statistics Stochastic processes Probability and statistics
670	Rapid Sampling for Visualizations with Ordering Guarantees Eric Blais Albert Kim Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2014-10-05 12:02:03 Statistical inference Monte Carlo methods Theoretical computer science Permutations Confidence interval Measurement Sampling Normal distribution Algorithm Statistics Mathematics Probability and statistics

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