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

High-dimensional statistics
Results: 273

#	Item
201	The Annals of Statistics HIGH DIMENSIONAL GRAPHS AND VARIABLE SELECTION WITH THE LASSO ¨hlmann By Nicolai Meinshausen and Peter Bu Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2006-04-27 11:03:43 Estimation theory Parametric statistics Data analysis Linear regression Multivariate normal distribution Variance Normal distribution Covariance Feature selection Statistics Econometrics Regression analysis
202	2013 IEEE International Conference on Big Data Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets Ciro Donalek, S. G. Djorgovski, Ashish A. Mahabal, Matthew J. Graham, Andrew J. Drake Add to Reading List Source URL: kiss.caltech.edu Language: English - Date: 2014-04-29 12:54:28 K-nearest neighbor algorithm Feature selection Supervised learning Linear classifier Statistical classification Kepler Least-angle regression RR Lyrae variable Pattern recognition Statistics Machine learning Artificial intelligence
203	Sign-constrained least squares estimation for high-dimensional regression Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2013-06-05 04:38:23 Estimation theory Parametric statistics Statistical theory Least squares Linear regression Multivariate normal distribution Normal distribution Shrinkage estimator Variance Statistics Regression analysis Econometrics
204	P-Values for High-Dimensional Regression Nicolai Meinshausen ∗ † Lukas Meier Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2008-11-13 05:16:44 Estimation theory Parametric statistics Econometrics Linear regression Normal distribution Ordinary least squares Least squares Variable Feature selection Statistics Regression analysis Hypothesis testing
205	Fast global convergence of gradient methods for high-dimensional statistical recovery Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-02-05 16:46:27 Econometrics M-estimators Statistical inference Maximum likelihood Poisson regression Loss function Consistent estimator Dimensional analysis Estimator Statistics Estimation theory Statistical theory
206	5728 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 55, NO. 12, DECEMBER 2009 Information-Theoretic Limits on Sparsity Recovery in the High-Dimensional and Noisy Setting Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2009-12-07 16:05:46 Probability theory Regression analysis Data analysis Numerical linear algebra Mathematical physics Normal distribution Sparse approximation Matrix Random variable Statistics Mathematics Algebra
207	High-dimensional analysis of semidefinite relaxations for sparse principal components Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2009-11-08 19:20:38 Matrix theory Singular value decomposition Data analysis Multivariate statistics Matrices Eigenvalues and eigenvectors Principal component analysis Covariance matrix Matrix Algebra Linear algebra Mathematics
208	Statistical Science 2012, Vol. 27, No. 4, 538–557 DOI: [removed]STS400 © Institute of Mathematical Statistics, 2012 A Unified Framework for High-Dimensional Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-12-21 20:16:50 Econometrics M-estimators Regression analysis Parametric model Maximum likelihood Fisher information Loss function Linear regression Matrix norm Statistics Estimation theory Statistical theory
209	High-dimensional statistics: Some progress and challenges ahead Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-06-03 10:26:51 Econometrics Asymptotic theory Linear regression Loss function Estimator Fisher information Maximum likelihood Statistics Estimation theory Statistical theory
210	Submitted to the Statistical Science A unified framework for high-dimensional analysis of M -estimators with decomposable regularizers Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-06-03 10:52:44 Econometrics Statistical inference Regression analysis Maximum likelihood Parametric model Linear regression Consistent estimator Matrix norm Loss function Statistics Estimation theory Statistical theory

UPDATE