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High-dimensional statistics
Results: 273

#	Item
111	Nonparametric Statistical Process Control Charts for High Dimensional Data Jun Li∗ Department of Statistics, University of California - Riverside, Riverside, CA 92521, U.S.A. Control charts are popular s Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Process management Engineering statistics Control chart Statistical process control Non-parametric statistics Process control Statistics Management Quality
112	Some Properties of Generalized Fused Lasso and Its Applications to High Dimensional Data Woncheol Jang, Johan Lim Seoul National University, Seoul, Korea, wjang, Ji Meng Loh Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Regularization Lasso Tikhonov regularization Feature selection Least-angle regression Statistics Regression analysis Elastic net regularization
113	Consistent Cross-Validation for Tuning Parameter Selection in High-Dimensional Variable Selection Yang Feng* Columbia University, New York, NY, USA Yi Yu Fudan University, Shanghai, China yu.yi Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:20 Cross-validation Feature selection Validation Statistics Model selection Machine learning
114	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
115	R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and Add to Reading List Source URL: ftp.acc.umu.se 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
116	NCSS Statistical Software NCSS.com Chapter 447 Add to Reading List Source URL: ncss.wpengine.netdna-cdn.com Language: English - Date: 2015-01-06 16:08:23 Silhouette Variable K-nearest neighbor algorithm Cosmic distance ladder Level of measurement K-medoids Clustering high-dimensional data Statistics Cluster analysis Medoid
117	R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and Add to Reading List Source URL: ftp.yz.yamagata-u.ac.jp 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
118	Shrinkage Estimation of High-Dimensional Factor Models with Structural Instabilities Xu Cheng∗ Zhipeng Liao Add to Reading List Source URL: www.econ.cuhk.edu.hk Language: English - Date: 2015-02-22 21:10:01 Psychometrics Regression analysis Econometrics Factor analysis Dynamic factor Estimator Least squares Scaling Principal component analysis Statistics Multivariate statistics Estimation theory
119	View Movie Automatic Partitioning of High Dimensional Search Spaces associated with Articulated Body Motion Capture Jonathan Deutscher University of Oxford Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2005-08-22 10:45:32 Genetic algorithm Applied mathematics Mathematics Statistics Estimation theory Particle filter Robot control
120	Tangent-Corrected Embedding Ali Ghodsi, Jiayuan Huang University of Waterloo Abstract Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 20:35:42 Multivariate statistics Differential geometry Differential topology Abstract algebra Linear algebra Nonlinear dimensionality reduction Isomap Manifold Dimension reduction Algebra Statistics Mathematics

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