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Statistical theory
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#	Item
871	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
872	Introduction to Time Series Analysis. Lecture 12. Peter Bartlett Last lecture: 1. Parameter estimation 2. Maximum likelihood estimator 3. Yule-Walker estimation Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2010-10-12 00:16:07 Statistics Estimation theory Statistical inference Biostatistics Confidence interval Measurement Psephology Quantitative marketing research
873	CS 493: Algorithms for Massive Data Sets Feb 21, Local Models, Bloom Filter Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2002-03-15 13:15:13 Hashing Search algorithms Statistical theory Bloom filter Bit array Probability distributions Hash function Entropy Golomb coding KullbackLeibler divergence Birthday problem
874	Parametric Bandits: The Generalized Linear Case Olivier Capp´e LTCI Telecom ParisTech et CNRS Paris, France Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 03:46:02 Statistics Estimation theory Regression analysis Statistical theory Generalized linear models M-estimators Poisson regression Gamma distribution Maximum likelihood estimation Linear regression Fisher information Multi-armed bandit
875	COLLEGE OF BUSINESS AND ECONOMICS Department of Economics and Finance From: Ross McKitrick, Professor of Economics, University of Guelph To: Add to Reading List Source URL: www.rossmckitrick.com Language: English - Date: 2016-01-20 17:01:45 Statistics Regression analysis Climate history Time series analysis Statistical tests Statistical theory Steve McIntyre Temperature record of the past 1000 years Autocorrelation Ross McKitrick Statistical hypothesis testing McKitrick
876	Linear Programming for Large-Scale Markov Decision Problems Yasin Abbasi-Yadkori Queensland University of Technology, Brisbane, QLD, Australia 4000 Peter L. Bartlett University of California, Berkeley, CA 94720 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2014-07-10 15:18:52 Statistics Markov processes Statistical theory Estimation theory Dynamic programming Markov decision process Stochastic control Loss function Markov chain M-estimator Bearing pressure Jet bundle
877	A Scaling Result for Explosive Processes M. Mitzenmacher J. Spencer Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2002-07-08 11:27:45 Probability distributions Normal distribution Cumulative distribution function Statistical theory Stochastic processes Information theory Binomial distribution
878	On the Relationship between Sum-Product Networks and Bayesian Networks Han Zhao HAN . ZHAO @ UWATERLOO . CA Mazen Melibari MMELIBAR @ UWATERLOO . CA Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:50 Graphical models Statistical models Probability theory Bayesian network Networks Variable elimination Markov random field
879	Gaussian Processes for Machine Learning Add to Reading List Source URL: www.gaussianprocess.org Language: English Mathematical analysis Statistical theory Probability theory Normal distribution Single-equation methods Stable distributions Estimation theory Geostatistics Gaussian process Kriging Linear regression Bayesian linear regression
880	SOME ASPECTS OF THE SEQUENTIAL DESIGN OF EXPERIMENTS HERBERT ROBBINS 1. Introduction. Until recently, statistical theory has been restricted to the design and analysis of sampling experiments in which the size and compos Add to Reading List Source URL: www.ams.org Language: English - Date: 2010-01-14 13:09:56 Statistics Statistical theory Sampling Statistical inference Design of experiments Hypothesis testing Sample size determination Expected value Probability distribution Variance Bias of an estimator Statistical hypothesis testing

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