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High-dimensional statistics
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241	U LTRA - HIGH D IMENSIONAL S INGLE -I NDEX M ODELS G UANNAN WANG AND L I WANG D EPARTMENT I. M OTIVATING E XAMPLE • Gene TRIM 32 ⇒ Bardet-Biedl Syndrome, e.g., visual loss ⇒ identify the Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 16:15:50 Identifiability Dimensional analysis Statistical theory Econometrics Regression analysis Estimation theory Statistics Measurement
242	Econometric Analysis of High Dimensional VARs Featuring a Dominant Unit Hashem Pesaran Alexander Chudik† Cambridge University and USC †European Central Bank and CIMF Add to Reading List Source URL: epp.eurostat.ec.europa.eu Language: English Vector autoregression Matrix theory Linear algebra Statistics Multivariate statistics Matrix
243	Econometric Analysis of High Dimensional VARs Featuring a Dominant Unit* M. Hashem Pesaran1 and Alexander Chudik2 1 Faculty of Economics, Austin Robinson Building, Sidgwick Avenue, Add to Reading List Source URL: epp.eurostat.ec.europa.eu Language: English Distributed lag Regression analysis Linear regression Economic model Ivar Vector autoregression Dimensional analysis Statistics Econometrics JEL classification codes
244	PDF Document Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2013-01-05 06:05:58 Data analysis Consensus clustering K-means clustering Clustering high-dimensional data Oracle Data Mining DBSCAN Hierarchical clustering Data stream clustering Fuzzy clustering Statistics Cluster analysis Multivariate statistics
245	Bootstrapping high dimensional vector: interplay between dependence and dimensionality Xianyang Zhang Joint work with Guang Cheng University of Missouri-Columbia Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-06-04 11:49:10 Statistical inference Normal distribution Bootstrapping Data analysis Resampling Multivariate normal distribution Vector space Algebra Statistics Mathematics
246	ESTIMATION IN HIGH DIMENSIONS: A GEOMETRIC PERSPECTIVE ROMAN VERSHYNIN Abstract. This tutorial paper provides an exposition of a flexible geometric framework for high-dimensional estimation problems with constraints. The Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-05-20 09:26:16 Convex analysis Econometrics Regression analysis Estimation theory Computational geometry Convex hull Convex optimization Convex function Convex geometry Statistics Mathematics Algebra
247	Graph estimation with matrix variate normal instances Shuheng Zhou The University of Michigan, Ann Arbor SAMSI-CRM Workshop on Geometric Aspects of High-dimensional Inference Research Triangle Park, North Carolina Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-04-03 17:33:40 Estimation theory Data analysis Algebra of random variables Maximum likelihood Covariance matrix Covariance Variance Partial correlation Random matrix Statistics Covariance and correlation Probability theory
248	Estimating High-dimensional Matrices: Convex Geometry and Computational Barriers Zongming Ma University of Pennsylvania [removed] Joint work with Yihong Wu (UIUC) Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-04-02 14:59:09 Decision theory Loss function Dimensional analysis Estimation theory Statistics Statistical theory Econometrics
249	Volume[removed]), Number 7 Pacific Graphics 2011 Bing-Yu Chen, Jan Kautz, Tong-Yee Lee, and Ming C. Lin (Guest Editors) Add to Reading List Source URL: cgg.mff.cuni.cz Language: English - Date: 2011-07-26 04:26:06 Data analysis Multivariate statistics Cluster analysis K-means clustering K-means++ Principal component analysis Vector space Clustering high-dimensional data Determining the number of clusters in a data set Statistics Algebra Mathematics
250	Information Visualization[removed], 232–246 & 2003 Palgrave Macmillan Ltd. All rights reserved[removed] $25.00 www.palgrave-journals.com/ivs Add to Reading List Source URL: www.spatialdatamining.org Language: English - Date: 2010-06-02 14:16:02 Cluster analysis Data mining Geostatistics K-means clustering DBSCAN Hierarchical clustering Principal component analysis OPTICS algorithm Clustering high-dimensional data Statistics Data analysis Multivariate statistics

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