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Marginal distribution
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11	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
12	16 Basic Bayesian Methods Mark E. Glickman and David A. van Dyk Summary In this chapter, we introduce the basics of Bayesian data analysis. The key ingredients to a Add to Reading List Source URL: www.glicko.net Language: English - Date: 2009-12-24 15:06:45 Bayesian statistics Bayesian inference Prior probability Beta distribution Likelihood function Statistical inference Normal distribution Confidence interval Posterior probability Conjugate prior Marginal likelihood
13	2015 IEEE International Conference on Robotics and Automation (ICRA) Washington State Convention Center Seattle, Washington, May 26-30, 2015 Self-tuning M-estimators G. Agamennoni, P. Furgale and R. Siegwart Add to Reading List Source URL: europa2.informatik.uni-freiburg.de Language: English - Date: 2016-01-26 19:52:59 Estimation theory Statistical theory M-estimators Statistical inference Bayesian statistics Maximum likelihood estimation Normal distribution Bayes estimator Efficiency Estimator Marginal likelihood operator
14	Bounds for the Sum of Dependent Risks and Worst Value-at-Risk with Monotone Marginal Densities R W∗, L P† J Y‡ June 23, 2012 Abstrac Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2012-07-02 12:09:17 Mathematical analysis Mathematics Analysis Probability distributions Generalized functions Functional analysis Actuarial science Distribution Copula Support Normal distribution
15	Joint Mixability Bin Wang∗ and Ruodu Wang† 23 July 2015 Abstract Many optimization problems in probabilistic combinatorics and mass transportation impose fixed marginal constraints. A natural and open question in thi Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2016-02-01 20:29:33 Mathematical analysis Statistics Probability Probability distributions Stable distributions Distribution Functional analysis Normal distribution Multivariate normal distribution Probability density function Joint probability distribution Elliptical distribution
16	The Complete Mixability and Convex Minimization Problems with Monotone Marginal Densities Bin Wang∗ and Ruodu Wang† May 9, 2011 Abstract Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2011-05-09 10:28:41 Mathematical analysis Statistics Probability Probability distributions Statistical theory Binomial distribution Distribution Expected value Completeness
17	FAST BAYESIAN COMPRESSIVE SENSING USING LAPLACE PRIORS S. Derin Babacan1 , Rafael Molina2 , Aggelos K. Katsaggelos1 1 2 Department of Electrical Engineering Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2009-03-24 12:49:57 Statistics Probability Mathematical analysis Probability distributions Linear algebra Bayesian statistics Laplace distribution Compressed sensing Marginal likelihood Relevance vector machine Bayesian network Bayesian inference
18	A Class of Multivariate Copulas with Bivariate Fr´ echet Marginal Copulas Jingping Yang∗ Yongcheng Qi† Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2009-04-30 02:57:14 Independence Covariance and correlation Actuarial science Multivariate statistics Copula U1 Comonotonicity Correlation and dependence Joint probability distribution
19	arXiv:1312.6114v9 [stat.ML] 10 AprAuto-Encoding Variational Bayes Max Welling Machine Learning Group Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-04-19 07:05:02 Statistical models Statistical inference Expectation–maximization algorithm Missing data Variational Bayesian methods Maximum likelihood Normal distribution Bayesian network Marginal likelihood Statistics Estimation theory Bayesian statistics
20	arXiv:1401.2838v1 [cs.LG] 13 JanGPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation Max Welling Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-04-19 07:04:55 Statistical inference Econometrics Confidence interval Measurement Marginal likelihood Likelihood function Normal distribution Markov chain Maximum likelihood Statistics Estimation theory Bayesian statistics

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