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Linear regression
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311	Interpreting Tests of School VAM Validity By Joshua Angrist, Peter Hull, Parag Pathak, and Christopher Walters∗ models, and develops an empirical Bayes strategy that uses lotteries to improve estimates of school qualit Add to Reading List Source URL: seii.mit.edu Language: English - Date: 2016-05-12 16:59:29 Econometrics Regression analysis Parametric statistics Estimation theory Least squares Instrumental variable Linear regression Ordinary least squares Simultaneous equations model Heteroscedasticity Coefficient of determination Normal distribution
312	DOIjqas JQAS 2013; 9(1): 97–111 Robert B. Gramacy, Shane T. Jensen and Matt Taddy Estimating player contribution in hockey with regularized logistic regression Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English* - Date: 2013-04-04 09:36:33 Statistics Statistical theory Regression analysis Linear regression Least squares Logistic regression Ordinary least squares Prior probability Bayesian linear regression Bayesian inference Normal distribution Statistical power
313	December 2015/January 2016 • Volume 9 • Number 2 To Foster and Nurture Girls’ Interest in Mathematics An Interview with Alice Guionnet, Part 1 The Laws of Probability, Part 2 Math in Your World: Linear Regression Add to Reading List Source URL: www.girlsangle.org Language: English - Date: 2015-12-31 12:05:06
314	CCPA Upgrade (v.3) Yan Luo, Dingchen Hou, and Yuejian Zhu Environmental Modeling Center 9th October 2015 Add to Reading List Source URL: www.emc.ncep.noaa.gov Language: English - Date: 2015-10-13 10:19:57 Econometrics Regression analysis Hydrology Estimation theory Linear regression Precipitation Quantitative precipitation estimation Rain Time series Regression
315	INVITED PAPER Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2016-01-25 20:13:13 Numerical linear algebra Matrices Matrix theory Linear algebra Econometrics Linear regression Preconditioner Algorithm Singular value decomposition Linear programming Condition number Regression analysis
316	Linear Regression Model with Histogram-Valued Variables S´onia Dias1∗ and Paula Brito2 1 INESC TEC - INESC Technology and Science and ESTG/IPVC - School of Technology and Management, Polytechnic Institute of Viana do Add to Reading List Source URL: www.dc.uba.ar Language: English - Date: 2015-07-24 12:56:17
317	1 MARCHSCHNEIDER 853 Add to Reading List Source URL: climate-dynamics.org Language: English - Date: 2015-09-11 20:40:57 Statistics Regression analysis Estimation theory Multivariate statistics Covariance and correlation Matrices Covariance Linear regression Tikhonov regularization Sample mean and covariance Principal component analysis Principal component regression
318	The Annals of Applied Statistics 2014, Vol. 8, No. 3, 1750–1781 DOI: AOAS755 © Institute of Mathematical Statistics, 2014 VARIABLE SELECTION FOR BART: AN APPLICATION Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2015-10-29 18:32:57 Statistics Statistical inference Estimation theory Regression analysis Nonparametric regression Linear regression Machine learning Stepwise regression Decision tree learning Spike-and-slab variable selection Omnibus test
319	Universit` a della Svizzera Italiana Faculty of Economics PhD Program Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2013-11-18 08:14:38 Estimation theory Econometrics Regression analysis Parametric statistics Fellows of the Econometric Society Generalized method of moments Linear regression Ordinary least squares Instrumental variable Maximum likelihood estimation Heteroscedasticity Least squares
320	Supplementary Material Estimating the Distribution of Sensorimotor Synchronization Data: A Bayesian Hierarchical Modeling Approach Rasmus Bååth Add to Reading List Source URL: www.sumsar.net Language: English - Date: 2016-06-12 16:28:06 Statistics Statistical theory Bayesian statistics Statistical models Parametric statistics Probability distributions Prior probability Normal distribution Bayesian network Bayesian inference Linear regression Bayesian hierarchical modeling

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