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Probability distributions
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21	CDAS: A Crowdsourcing Data Analytics System Xuan Liu†, Meiyu Lu† , Beng Chin Ooi† , Yanyan Shen† , Sai Wu§ , Meihui Zhang† †School of Computing, National University of Singapore, Singapore §College of Compu Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-06-21 00:37:19 Statistics Statistical theory Probability Probability distributions Crowdsourcing Sampling Normal distribution Confidence interval
22	Scalable Training of Mixture Models via Coresets Dan Feldman MIT Matthew Faulkner Add to Reading List Source URL: eew.caltech.edu Language: English - Date: 2012-05-15 11:47:37 Statistics Probability Maximum likelihood estimation Probability distributions Bayesian statistics Expectationmaximization algorithm Mixture model Normal distribution K-means clustering Likelihood function Data stream clustering Gamma distribution
23	Non-Parametric Jensen-Shannon Divergence Hoang-Vu Nguyen and Jilles Vreeken Max-Planck Institute for Informatics and Saarland University, Germany {hnguyen,jilles}@mpi-inf.mpg.de Abstract. Quantifying the difference betw Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2015-06-16 04:34:55 Statistics Probability Mathematical analysis Information theory Statistical theory Statistical distance Probability distributions Stable distributions KullbackLeibler divergence Normal distribution Divergence Entropy
24	Value–at–Risk Prediction: A Comparison of Alternative Strategies∗ Keith Kuestera a Stefan Mittnikb c d † Add to Reading List Source URL: www.keithkuester.eu Language: English - Date: 2007-10-14 06:50:06 Statistics Mathematical analysis Probability Probability distributions Regression analysis Linear regression Normal distribution Quantile regression Quantile function Beta distribution Value at risk Skewness
25	Supplementary Discussion for ET Might Write Not Radiate Christopher Rose1, and Gregory Wright2 1 Department of Electrical and Computer Engineering Add to Reading List Source URL: antiope.com Language: English - Date: 2008-08-03 12:41:59 Mathematical analysis Statistics Probability Probability distributions Infinitely divisible probability distributions Poisson processes Exponential distribution Exponentials
26	arXiv:1201.0473v1 [math-ph] 2 JanA UNIVERSALITY THEOREM FOR RATIOS OF RANDOM CHARACTERISTIC POLYNOMIALS JONATHAN BREUER AND EUGENE STRAHOV Abstract. We consider asymptotics of ratios of random characteristic Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-01-03 20:57:09 Mathematical analysis Mathematics Functional analysis Ordinal number Wellfoundedness Constructible universe Distribution Probability distributions Differential forms on a Riemann surface Isotope lists 73-96
27	Maximum Likelihood Estimation of Dirichlet Distribution Parameters Jonathan Huang Abstract. Dirichlet distributions are commonly used as priors over proportional data. In this paper, I will introduce this distribution, d Add to Reading List Source URL: jonathan-huang.org Language: English - Date: 2014-09-08 21:47:30 Statistics Mathematical analysis Probability Probability distributions Gamma distribution Dirichlet distribution Exponential family Beta distribution Mixture model Multinomial distribution Likelihood function Maximum likelihood estimation
28	A State-Space Model for National Football League Scores Mark E. GLICKMANand Hal S. STERN This articledevelopsa predictivemodel forNationalFootballLeague (NFL) game scoresusingdata fromtheperiodThe parameterso Add to Reading List Source URL: www.glicko.net Language: English - Date: 2014-01-31 20:50:46 Statistics Probability Mathematical analysis Probability distributions Gibbs sampling Markov chain Monte Carlo Kalman filter Regression analysis
29	An Aggregation Technique For Large-Scale PEPA Models With Non-Uniform Populations Alireza Pourranjbar, Jane Hillston School of Informatics, University of Edinburgh 10th December 2013 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-12-16 05:45:52 Mathematical analysis Statistics Exponentials Probability distributions Economic model Stochastic process Exponential function Process calculus PEPA Generalizations of the derivative Conceptual model Exponential distribution
30	D Estimating the parameters of the incentive function (to be published on the web only) Our exercise to estimate the parameters of our ﬂow-performance function is standard with the Add to Reading List Source URL: personal.lse.ac.uk Language: English - Date: 2015-09-08 17:44:46 Statistics Mathematical analysis Probability Probability distributions Logarithms Normal distribution Regression analysis

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