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Sufficient statistic
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#	Item
1	Journal of Machine Learning Research) ?? Submitted ??; Published ?? Posterior Regularization for Structured Latent Variable Models Kuzman Ganchev Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2011-02-28 22:52:31 Statistics Estimation theory Statistical theory Expectationmaximization algorithm Maximum likelihood estimation KullbackLeibler divergence Sufficient statistic Likelihood function Gamma distribution Generalized coordinates
2	Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations Lina Kulakova Computational Science and Engineering Laboratory ETH Zürich Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2016-06-15 20:10:57 Statistics Statistical theory Bayesian statistics Estimation theory Probability distributions Statistical models Uncertainty quantification Bayesian network Bayesian inference Sufficient statistic Likelihood function Normal distribution
3	Paper P254-25 Performing Exact Logistic Regression with the SAS R System Robert E. Derr, SAS Institute Inc., Cary, NC The “METHODOLOGY” section in this paper presents the logistic regression model and the different Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Statistics Statistical theory Estimation theory Statistical tests Regression analysis Econometrics Logistic regression Likelihood function Exact test Normal distribution Likelihood-ratio test Sufficient statistic
4	Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models – ICCV 2011 paper supplementary material – George Papandreou and Alan Yuille Department of Statistics, University of C Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2011-10-20 23:22:53 Statistical theory Sufficient statistic Likelihood function Confidence interval Completeness
5	p-values: The insight to modern statistical inference D A S Fraser ∗ Add to Reading List Source URL: errorstatistics.files.wordpress.com Language: English - Date: 2016-06-28 14:43:14 Estimation theory Statistical theory Econometrics Bayesian statistics Statistical inference Likelihood function Confidence interval Sufficient statistic Bias of an estimator Observed information Maximum likelihood estimation Likelihood principle
6	On Specifying Boolean Functions by Labelled Examples Martin Anthony and Graham Brightwell Department of Statistical and Mathematical Sciences London School of Economics Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2003-07-02 03:41:24 Statistical theory Estimation theory M-estimators Ordinary differential equations Operator theory Sufficient statistic Heat equation
7	L1 PRIOR MAJORIZATION IN BAYESIAN IMAGE RESTORATION Miguel Vegaa , Rafael Molinab , and Aggelos K. Katsaggelosc a) Dept. Ciencias de la Computaci´on e I. A., Univ. de Granada, 18071 Granada, Spain. b) Dept. de Lenguajes Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2009-10-02 04:32:19 Statistical theory Probability distributions Estimation theory Gamma distribution Expectationmaximization algorithm Confidence interval Divergence KullbackLeibler divergence Sufficient statistic
8	On Iterative Hard Thresholding Methods for High-dimensional M-Estimation arXiv:1410.5137v2 [cs.LG] 21 OctPrateek Jain∗ Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-10-21 20:16:25 Statistics Estimation theory Statistical theory Consistent estimator M-estimator Loss function Linear regression Sufficient statistic
9	arXiv:1307.3400v1 [stat.ML] 12 JulThompson Sampling for 1-Dimensional Exponential Family Bandits Nathaniel Korda, Emilie Kaufmann, and R´emi Munos Telecom Paristech UMR CNRS 5141 & INRIA Lille - Nord Europe Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-07-14 23:21:30 Statistics Statistical theory Estimation theory Econometrics Bayesian statistics Design of experiments Fisher information Sufficient statistic Loss function Exponential family Bayes estimator Completeness
10	On Iterative Hard Thresholding Methods for High-dimensional M-Estimation Prateek Jain∗ Ambuj Tewari† Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2015-01-11 15:04:36 Statistics Statistical theory Estimation theory Sparse approximation Bias of an estimator Consistent estimator Loss function M-estimator Linear regression Sufficient statistic