High-dimensional statistics - PDFSEARCH.IO - Document Search Engine

High-dimensional statistics
Results: 273

#	Item
191	Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard ∗ and Andrea Montanari † Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-08-27 17:53:38 Statistical theory M-estimators Parametric statistics Normal distribution Maximum likelihood Ordinary least squares Central limit theorem Bias of an estimator Variance Statistics Estimation theory Regression analysis
192	ARTICLE Communicated by Kechen Zhang Efficient Learning and Feature Selection in High-Dimensional Regression Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2010-02-06 00:59:42 Linear regression Partial least squares regression Backfitting algorithm Principal component analysis Supervised learning Least squares Nonlinear regression Ordinary least squares Outline of regression analysis Statistics Regression analysis Additive model
193	Submitted to the Annals of Statistics SPECTRAL CLUSTERING AND THE HIGH-DIMENSIONAL STOCHASTIC BLOCKMODEL By Karl Rohe, Sourav Chatterjee and Bin Yu University of California Berkeley Add to Reading List Source URL: statistics.berkeley.edu Language: English - Date: 2014-03-15 03:15:37 Networks Data analysis Multivariate statistics Singular value decomposition Network analysis Spectral clustering Girvan–Newman algorithm Cluster analysis Modularity Statistics Mathematics Algebra
194	Package ‘hypervolume’ August 24, 2014 Type Package Title High-dimensional kernel density estimation and geometry operations. Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-24 17:04:11 Non-parametric statistics Dimension Kernel density estimation Vector space Plot Four-dimensional space Density estimation Matrix Mode Algebra Mathematics Statistics
195	Ensemble Filtering for High Dimensional Non-linear State Space Models Jing Lei and Peter Bickel Department of Statistics, UC Berkeley August 31, 2009 Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2010-05-04 01:48:29 Electronic engineering Robot control Signal processing Linear filters Ensemble Kalman filter Kalman filter Particle filter Data assimilation Filtering problem Statistics Estimation theory Control theory
196	Relaxed Lasso Nicolai Meinshausen [removed] December 14, 2006 Abstract The Lasso is an attractive regularisation method for high dimensional regression. Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2006-12-14 13:01:50 Statistical inference Econometrics Parametric statistics Least squares Lasso Ordinary least squares Estimator Normal distribution Shrinkage estimator Statistics Estimation theory Regression analysis
197	Supplementary materials for this article are available online. Please go to www.tandfonline.com/r/JCGS LASSO Isotone for High-Dimensional Additive Isotonic Regression Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2012-04-26 05:00:45 Linear regression Isotonic regression Least-angle regression Backfitting algorithm Additive model Convex function Least squares Nonparametric regression Convex optimization Statistics Regression analysis Mathematical analysis
198	Confidence intervals for groups of variables in sparse high-dimensional regression without assumptions on the design Nicolai Meinshausen Seminar f¨ ur Statistik, ETH Z¨ urich Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2014-06-11 04:41:12 Estimation theory Parametric statistics Statistical inference Linear regression Normal distribution Confidence interval Statistics Econometrics Regression analysis
199	arXiv:0801.1158v1 [math.ST] 8 Jan[removed]Hierarchical selection of variables in sparse high-dimensional regression P. J. Bickel Department of Statistics Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2008-05-06 21:42:35 Estimation theory Parametric statistics Statistical inference Linear regression Estimator Multicollinearity Gauss–Markov theorem Least squares Statistics Regression analysis Econometrics
200	BIOSTATISTICS SEMINAR George Michailidis, Ph.D. Departments of Statistics University of Michigan Change-Point Estimation in High-Dimensional Markov Random Field Models In this talk we discuss a change-point estimation pr Add to Reading List Source URL: sph.unc.edu - Date: 2014-09-04 09:09:38

UPDATE