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Regression estimation
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#	Item
851	Microsoft Word - OWC CCR 2010.doc Add to Reading List Source URL: www.mauirealestatesearch.com Language: English Normal distribution Expectation–maximization algorithm Multivariate normal distribution Principal component analysis Wishart distribution Linear regression Symbol Conjugate prior Statistics Estimation theory Multivariate statistics
852	Sparse Bayesian Multi-Task Learning C´edric Archambeau, Shengbo Guo, Onno Zoeter Xerox Research Centre Europe {Cedric.Archambeau, Shengbo.Guo, Onno.Zoeter}@xrce.xerox.com Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-10-28 18:26:19 Normal distribution Expectation–maximization algorithm Multivariate normal distribution Principal component analysis Wishart distribution Linear regression Symbol Conjugate prior Statistics Estimation theory Multivariate statistics
853	Optimally Weighted Least-Squares Steganalysis Andrew D. Ker Oxford University Computing Laboratory, Parks Road, Oxford OX1 3QD, England ABSTRACT Quantitative steganalysis aims to estimate the amount of payload in a stego Add to Reading List Source URL: www.cs.ox.ac.uk Language: English - Date: 2007-04-03 07:34:22 Statistical theory M-estimators Robust regression Estimator Bias of an estimator Variance Statistics Estimation theory Statistical inference
854	Estimating Network Degree Distributions from Sampled Networks: An Inverse Problem Eric D. Kolaczyk* Boston University, Boston, MA, USA Yaonan Zhang Boston University, Boston, MA, USA Bruce D. Spencer Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Regression analysis Signal processing Least squares Sampling Inverse problem Estimator Statistics Statistical inference Estimation theory
855	Combining Estimators to Improve Performance A survey of “model bundling” techniques -from boosting and bagging, to Bayesian model averaging -- creating a breakthrough in the practice of Data Mining. John F. Elder IV Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2011-09-03 10:21:06 Econometrics Statistical theory Parametric statistics Regression analysis Model selection Linear regression Estimator Statistics Estimation theory Statistical inference
856	Regularized Regression David M. Blei Columbia University December 3, 2014 Modern regression problems are high dimensional, which means that the number of covariates p is large. In practice statisticians regularize their Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Econometrics Least squares Parametric statistics Regularization Linear regression Tikhonov regularization Elastic net regularization Mean squared error Maximum likelihood Statistics Estimation theory Regression analysis
857	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGEN Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-02-26 18:27:24 Regression analysis Estimation theory Exponentials Gaussian function Kernel regression Linear regression Degrees of freedom Kriging Normal distribution Statistics Econometrics Non-parametric statistics
858	arXiv:1202.0515v3 [stat.ML] 21 AugHigh-Dimensional Feature Selection by Feature-Wise Kernelized Lasso Makoto Yamada1 , Wittawat Jitkrittum2 , Leonid Sigal3 , Eric P. Xing4 , and Masashi Sugiyama2 1 Yahoo! Labs, 70 Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-02-26 18:29:12 Non-parametric statistics Dimension reduction Feature selection Model selection Kernel trick Lasso Kernel density estimation Supervised learning Least squares Statistics Regression analysis Machine learning
859	24550 Quantile Regression as a Tool for Investigating Local and Global Ice Pressures Paul Spencer and Tom Morrison, Ausenco, Calgary, Alberta, CANADA Copyright 2014, Offshore Technology Conference Add to Reading List Source URL: www.ausenco.com Language: English - Date: 2014-03-12 20:43:18 Summary statistics Quantile regression Parametric statistics Quantile Estimation theory Normal distribution Power law Linear regression Standard error Statistics Regression analysis Econometrics
860	COMBINING REGIONAL AND NATIONAL INFORMATION FOR THE ESTIMATION OF REGIONAL INPUT-OUTPUT TABLES Esteban Fernández-Vázquez1and Carmen Ramos-Carvajal2. University of Oviedo, Department of Applied Economics, Faculty of Ec Add to Reading List Source URL: www.iioa.org Language: English* - Date: 2009-10-17 10:14:51 Bayesian statistics Regression analysis Econometrics Kullback–Leibler divergence Principle of maximum entropy Prior probability Matrix Input-output model Linear regression Statistics Estimation theory Statistical theory

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