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Statistic
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#	Item
101	Applied Probability Trust (13 DecemberADVANCES IN COMPLETE MIXABILITY GIOVANNI PUCCETTI,∗ University of Firenze BIN WANG,∗∗ Peking University RUODU WANG,∗∗∗ Georgia Institute of Technology Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2012-01-20 13:07:56 Mathematical analysis Mathematics Analysis Probability distributions Generalized functions Summary statistics Distribution Functional analysis Binomial distribution Order statistic Expected value Central limit theorem
102	Administrative Notes •  Midterm will (hopefully) be graded and available in recitation on Friday, March 6th •  If not finished by this Friday, midterms will be available in recitations after spring break Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2015-03-03 16:58:24 Hypothesis testing Statistical inference Design of experiments Statistical tests Normal distribution Statistical hypothesis testing P-value Null hypothesis Confidence interval Sample size determination Statistics T-statistic
103	Administrative Notes StatisticsLecture 27 •  Final Exam is Tuesday, May 10th (3-5pm) •  Covers Chapters 1-8 and 10 in textbook Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-04-25 15:34:36 Statistics Regression analysis Parametric statistics Probability distributions Statistical theory Measurement Central limit theorem Normal distribution Sampling distribution T-statistic Errors and residuals Linear regression
104	The perks of ad technology • A technical system can be evaluated, whilst people make different decisions every time. • People can make decisions based on emotions, guesses and hunches – resulting in a non-statistic Add to Reading List Source URL: www.deltaprojects.com - Date: 2015-08-31 08:48:40
105	Administrative Notes StatisticsLecture 16 •  Homework 4 is due in recitation on Friday, March 18 Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-03-16 14:58:28 Statistical theory Measurement Normal distribution Statistical inference Regression analysis Standard error Standard deviation Errors and residuals T-statistic Sample size determination Central limit theorem Sampling distribution
106	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
107	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
108	ˇna fizika III. Letnik – Statistic Popravni kolokvij/izpit 1. 1. Add to Reading List Source URL: fiz.fmf.uni-lj.si - Date: 2006-03-21 12:34:02
109	ˇna fizika III. Letnik – Statistic. Add to Reading List Source URL: fiz.fmf.uni-lj.si - Date: 2006-01-06 04:44:16
110	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

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