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Heavy-tailed distribution
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#	Item
11	Microsoft Word - Recovering distributions.10.doc Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-12-12 11:45:19 Statistics Mathematical analysis Probability Probability distributions Pearson distribution Normal distribution Beta distribution Log-normal distribution Mode Heavy-tailed distribution Distribution Skewness
12	Microsoft PowerPointSIGMETRICS-heavytails.pptx Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2013-11-04 18:56:26 Probability Heavy-tailed distribution Power law Probability theory Statistics Mathematical analysis
13	On Learning Mixtures of Heavy-Tailed Distributions Anirban Dasgupta John Hopcroft Abstract Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2005-08-11 23:51:59 Multivariate statistics Generalized functions Data mining Mixture model Expectation–maximization algorithm Normal distribution Mixture distribution Distribution Statistics Machine learning Cluster analysis
14	A Practical Guide to Heavy Tails: Statistical Techniques and Applications Robert J. Adler, Raisa E. Feldman, Murad S. Taqqu, Editors Table of Contents I. Applications Add to Reading List Source URL: math.bu.edu Language: English - Date: 1998-10-22 17:56:05 Statistical inference Data analysis Regression analysis Heavy-tailed distribution Linear regression Stable distribution Normal distribution Resampling Variance Statistics Probability theory Econometrics
15	Geometric properties of heavy-tailed random fields Lettisia George Supervisor: Andriy Olenko La Trobe University February 2014 Add to Reading List Source URL: vrs.amsi.org.au Language: English - Date: 2014-09-04 22:39:20 Multivariate normal distribution Kolmogorov–Smirnov test Covariance Random variable Gaussian random field Central limit theorem Maximum likelihood Statistics Covariance and correlation Normal distribution
16	Heavy-tailed Distances for Gradient Based Image Descriptors Yangqing Jia and Trevor Darrell UC Berkeley EECS and ICSI {jiayq,trevor}@eecs.berkeley.edu Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:37 Estimation theory Normal distribution Histogram of oriented gradients Kullback–Leibler divergence Maximum likelihood Laplace distribution Variance One-shot learning Statistics Statistical theory Computer vision
17	HEAVY-TAILED DISTRIBUTIONS AND RATING Add to Reading List Source URL: www.casact.org Language: English - Date: 2012-04-11 20:49:32 Exponentials Actuarial science Q-Q plot Statistical inference Power law Order statistic Pareto distribution Quantile Maximum likelihood Statistics Summary statistics Estimation theory
18	Long Tail Analysis 1 Scott Hendrickson Assumption : Showing that a given distribution is the "correct" distribution is not a reasonable goal. Why look at alternative distribution functions? To understand the dynamics Add to Reading List Source URL: drskippy.net Language: English - Date: 2009-10-20 14:39:10 Probability and statistics Exponentials Power law Long Tail Heavy-tailed distribution Statistics Probability theory Mathematical analysis
19	Time variation in the tail behaviour of bund futures returns Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2003-11-28 10:20:06 Probability theory Behavioral finance Fat-tailed distribution Kurtosis Volatility Long Tail Futures contract Heavy-tailed distribution Shape of the distribution Statistics Mathematical finance Probability and statistics
20	Loss minimization and parameter estimation with heavy tails Daniel Hsu? ? Department of Computer Science, Columbia University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:20 Statistical theory Estimation theory Econometrics Heavy-tailed distribution Errors and residuals in statistics Linear regression Moment Minimax estimator Normal distribution Statistics Probability theory Regression analysis

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