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High-dimensional statistics
Results: 273

#	Item
151	THE LASSO FOR HIGH-DIMENSIONAL REGRESSION WITH A POSSIBLE CHANGE-POINT arXiv:1209.4875v4 [math.ST] 19 Apr[removed]SOKBAE LEE, MYUNG HWAN SEO, AND YOUNGKI SHIN Add to Reading List Source URL: ias.ust.hk Language: English - Date: 2014-05-22 22:47:23 Estimation theory Parametric statistics Linear regression Least squares Omitted-variable bias Statistics Regression analysis Econometrics
152	MODEL REDUCTION FOR LARGE-SCALE SYSTEMS WITH HIGH-DIMENSIONAL PARAMETRIC INPUT SPACE T. BUI-THANH∗ , K. WILLCOX† , AND O. GHATTAS‡ Abstract. A model-constrained adaptive sampling methodology is proposed for reducti Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2008-02-19 11:16:31 Operations research Least squares Degrees of freedom Statistical inference Statistics Regression analysis Mathematical optimization
153	Clustering: Science or Art? Ulrike von Luxburg [removed] Max Planck Institute for Intelligent Systems, T¨ ubingen, Germany Robert C. Williamson Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-06-09 18:47:45 Data mining Geostatistics Hierarchical clustering K-means clustering Consensus clustering Unsupervised learning Clustering high-dimensional data Statistics Cluster analysis Machine learning
154	Ann Inst Stat Math[removed]:335–357 DOI[removed]s10463[removed]Strong consistency of factorial K-means clustering Yoshikazu Terada Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-03-19 01:33:54 K-means clustering Clustering high-dimensional data Statistics Cluster analysis Computational statistics
155	Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification Sampath Deegalla? ? Add to Reading List Source URL: www.stes.fi Language: English - Date: 2006-10-19 04:44:00 Principal component analysis Dimension reduction Curse of dimensionality Pattern recognition Supervised learning Latent semantic indexing Statistics Machine learning Multivariate statistics
156	ARTICLE Communicated by Vladimir Vapnik Estimating the Support of a High-Dimensional Distribution Bernhard Sch olkopf Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2001-08-21 03:24:53 Signal processing Non-parametric statistics Kernel principal component analysis Kernel density estimation Mathematical optimization Vector space Gaussian function Supervised learning Support vector machine Algebra Statistics Mathematics
157	Ann Inst Stat Math[removed]:287–311 DOI[removed]s10463[removed]y Extended Bayesian information criterion in the Cox model with a high-dimensional feature space Shan Luo · Jinfeng Xu · Zehua Chen Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-03-19 01:33:53 Bayesian information criterion Electron beam induced current Statistics Model selection Feature selection
158	Ann Inst Stat Math[removed]:359–373 DOI[removed]s10463[removed]On generalized expectation-based estimation of a population spectral distribution from high-dimensional data Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-03-19 01:33:54 Statistical inference Data analysis Matrices Summary statistics Estimator Eigenvalues and eigenvectors Covariance matrix Sample mean and sample covariance Variance Statistics Algebra Estimation theory
159	MODEL REDUCTION FOR LARGE-SCALE SYSTEMS WITH HIGH-DIMENSIONAL PARAMETRIC INPUT SPACE ACDL TECHNICAL REPORT TR-07-2 AUGUST 2007 T. Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2007-08-28 12:12:57 Operations research Least squares Degrees of freedom Statistical inference Statistics Regression analysis Mathematical optimization
160	NIPS 2003 Feature Selection Workshop Classification for High Dimensional Problems Using Bayesian Neural Networks and Dirichlet Diffusion Trees Radford M. Neal and Jianguo Zhang Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-12-19 14:19:32 Statistical inference Statistical models Multivariate statistics Overfitting Bayesian inference Bayesian network Early stopping Feature selection Hyperparameter Statistics Bayesian statistics Machine learning

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