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Regression estimation
Results: 2996

#	Item
171	Ann Inst Stat Math:725–764 DOIs10463Parameter estimation for a generalized semiparametric model with repeated measurements Shujie Ma · Zijian Huang · Chih-Ling Tsai Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-08-02 06:58:13 Statistical inference Statistical theory Statistical models Estimation theory Econometrics Semiparametric model Nonparametric statistics Regression analysis Statistics Estimator
172	Quantile Impulse Response Functions Sulkhan Chavleishvili∗ Faculty of Economics and Business Administration, Goethe University Frankfurt and Simone Manganelli† Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:21:05 Econometrics Regression analysis Estimation theory Statistical inference Confidence interval Measurement Quantile regression Quantile Linear regression
173	CENTER FOR LABOR ECONOMICS UNIVERSITY OF CALIFORNIA, BERKELEY WORKING PAPER NO. 45 College Performance Predictions and the SAT* Jesse M. Rothstein Add to Reading List Source URL: cle.berkeley.edu Language: English - Date: 2002-04-08 13:30:41 Estimation theory Statistical theory Regression analysis Parametric statistics Statistical inference Mean squared error Bias of an estimator Consistent estimator Linear regression Efficiency Estimator T-statistic
174	Fast inference in generalized linear models via expected log-likelihoods Alexandro D. Ramirez 1,, Liam Paninski 2 1 Weill Cornell Medical College, NY. NY, U.S.A Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-06-06 11:45:10 Estimation theory Statistical theory Maximum likelihood estimation Bias of an estimator Completeness Poisson regression Linear regression Exponential family Likelihood function Estimator Mean squared error Law of large numbers
175	Least Squares Stephen Boyd EE103 Stanford University November 4, 2015 Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-11-04 13:11:15 Regression analysis Least squares Estimation theory Mathematical optimization Parametric statistics Residual sum of squares Ordinary least squares
176	POLIIntermediate Statistics, Spring 2012 Tuesday and Thursday, 9:30-10:45, Hamilton Hall 351 Weekly Lab (POLI); Thursday 1:00-1:50, Saunders 322 Instructor Dr. Thomas Carsey E-mail: Add to Reading List Source URL: carsey.web.unc.edu Language: English - Date: 2014-03-19 09:31:40 Regression analysis Econometrics Estimation theory Parametric statistics Stata Statistics Quantitative analyst Heteroscedasticity Ordinary least squares
177	ORDINARY LEAST SQUARES REGRESSION MATH 196, SECTION 57 (VIPUL NAIK) Corresponding material in the book: For the computational process, Section 5.3 of the book is relevant. For comparing notation: • Add to Reading List Source URL: files.vipulnaik.com Language: English - Date: 2016-08-13 11:33:29 Regression analysis Estimation theory Parametric statistics Econometrics Least squares Linear regression Ordinary least squares Linear algebra Matrix Vector space Line Linear least squares
178	Journal of Machine Learning Research1101 Submitted 1/14; Revised 9/14; Published 5/15 Lasso Screening Rules via Dual Polytope Projection Jie Wang Add to Reading List Source URL: peterwonka.net Language: English - Date: 2015-11-20 08:10:44 Econometrics Estimation theory Linear regression Regression analysis Lie algebras
179	Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent Wei Xu Add to Reading List Source URL: arxiv.org Language: English - Date: 2011-12-22 22:14:38 Econometrics Estimation theory Statistical theory M-estimators Regression analysis Loss function Stochastic gradient descent Linear regression
180	Journal of Applied Statistics, Vol. 28, No. 6, 2001, Dynamic paired comparison models with stochastic variances MARK E. GLICKMAN, Boston University, Boston, MA 02215, USA Add to Reading List Source URL: www.glicko.net Language: English - Date: 2009-12-24 15:06:38 Estimation theory Statistical theory Statistical models Regression analysis Probability distributions Stochastic volatility Normal distribution Generalized linear model Maximum likelihood estimation Prior probability Variance Autoregressive model

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