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Probability distributions
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#	Item
281	output/maye11bayesian.dvi Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2012-02-24 09:20:37 Bayesian statistics Probability distributions Mixture model Posterior predictive distribution Hidden Markov model Normal distribution Hyperparameter Prior probability Dirichlet distribution RT Image segmentation Dirichlet-multinomial distribution
282	Statistica Sinica), doi:http://dx.doi.orgssTESTS FOR VARIANCE COMPONENTS IN VARYING COEFFICIENT MIXED MODELS Zaixing Li, Yuedong Wang, Ping Wu, Wangli Xu and Lixing Zhu Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2012-09-18 20:28:37 Estimation theory Summary statistics Statistical theory Probability distributions Normal distribution Consistent estimator Variance Mode Covariance matrix Fisher information
283	QoS Control for Optimality and Safety Jacques Combaz1,2 , Jean-Claude Fernandez1 , Thierry Lepley2 , Joseph Sifakis1 Add to Reading List Source URL: www-verimag.imag.fr Language: English - Date: 2012-12-31 04:25:32 Constructible universe NC Closed and exact differential forms Probability distributions
284	Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning Matthias Br¨ocheler, Lise Getoor University of Maryland, College Park College Park, MD 20742 Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-06-14 19:26:49 Operations research Summary statistics Statistical models Convex optimization Linear programming Normal distribution Probability distribution Central limit theorem Expected value Random walk Stochastic process Standard deviation
285	Status Updates Through Queues Sanjit K. Kaul Roy D. Yates and Marco Gruteser IIIT-Delhi Add to Reading List Source URL: www.winlab.rutgers.edu Language: English - Date: 2015-02-03 23:03:51 Stochastic processes Infinitely divisible probability distributions Poisson processes Probability distributions Exponential distribution Exponentials M/M/1 queue
286	Inference, Models and Simulation for Complex Systems Lectures 8 and 9 Prof. Aaron Clauset 1 Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2011-09-29 19:22:25 Evolutionary biology Stochastic processes Transport phenomena Probability distributions Random walk Evolution Diffusion Macroevolution Normal distribution Speciation Microevolution Branching process
287	c 2009 Society for Industrial and Applied Mathematics ! SIAM REVIEW Vol. 51, No. 4, pp. 661–703 Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2010-10-13 18:48:29 Probability distributions Estimation theory Statistical models Exponentials Actuarial science Maximum likelihood estimation Power law Cumulative distribution function KolmogorovSmirnov test Likelihood function Expected value Mode
288	Mathematical Notes on SAMtools Algorithms Heng Li October 12, 2010 2 Add to Reading List Source URL: lh3lh3.users.sourceforge.net Language: English - Date: 2015-04-15 12:58:23 Probability distributions Infinitely divisible probability distributions Poisson distribution Constructible universe Gamma distribution
289	2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Temporal Mechanisms of Polarization in Online Reviews Antonis Matakos Panayiotis Tsaparas Add to Reading List Source URL: www.cs.uoi.gr Language: English - Date: 2016-07-11 10:44:45 Probability distributions Kurtosis Normal distribution Standard deviation Mode Stable distribution Multimodal distribution Statistical hypothesis testing IMDb Beta distribution
290	Christiano FINC 520, Spring 2008 Homework 6, due Thursday, MayConsider the iid Normal stochastic process, {xt } , with Ext = μ and E (xt − μ)2 = σ 2 . Let μl = E (xt − μ)l denote the lth moment about the Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English - Date: 2008-05-17 12:29:25 Probability distributions Normal distribution Statistical theory Estimation theory Econometrics Bootstrapping T-statistic Generalized method of moments Sampling distribution Skewness Multivariate normal distribution Errors and residuals

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