High-dimensional statistics

Results: 273



#Item
161K-means clustering / Correlation clustering / Correlation and dependence / Consensus clustering / Clustering high-dimensional data / Statistics / Cluster analysis / Fuzzy clustering

Compensation of Translational Displacement in Time Series Clustering using Cross Correlation Frank H¨oppner1 and Frank Klawonn23 1 Department of Economics

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Source URL: public.fh-wolfenbuettel.de

Language: English - Date: 2010-06-09 06:22:14
162Data mining / Geostatistics / Machine learning / Canopy clustering algorithm / Consensus clustering / Statistics / Cluster analysis / Data analysis

Learning to Match and Cluster Large High-Dimensional Data Sets For Data Integration William W. Cohen Jacob Richman

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Source URL: www.cs.cmu.edu

Language: English - Date: 2002-10-30 10:44:17
163Regression analysis / Model selection / Statistical classification / Linear discriminant analysis / Bayesian information criterion / Feature selection / Discriminant / Principal component analysis / Random forest / Statistics / Multivariate statistics / Econometrics

Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications

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Source URL: www.stat.washington.edu

Language: English - Date: 2010-06-07 17:10:14
164Data analysis / Multivariate statistics / Data mining / SUBCLU / DBSCAN / K-means clustering / Clustering high-dimensional data / Unsupervised learning / Correlation clustering / Statistics / Cluster analysis / Machine learning

Evaluating Clustering in Subspace Projections of High Dimensional Data • • Emmanuel Muller Stephan Gunnemann

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Source URL: www.vldb.org

Language: English - Date: 2009-07-27 10:29:02
165Data analysis / Matrices / Multivariate normal distribution / Normal distribution / Fisher information / Maximum likelihood / Covariance matrix / Covariance / Matrix / Statistics / Estimation theory / Covariance and correlation

High-dimensional covariance estimation by minimizing 1-penalized log-determinant divergence

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Source URL: www.cs.utexas.edu

Language: English - Date: 2011-05-03 19:18:22
166Fisher information / Multivariate normal distribution / Maximum likelihood / Expectation–maximization algorithm / Statistics / Estimation theory / Feature selection

High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods Christopher C. Johnson CS, UT Austin [removed]

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Source URL: jmlr.csail.mit.edu

Language: English - Date: 2012-04-26 08:56:37
167Econometrics / M-estimators / Regression analysis / Parametric model / Maximum likelihood / Fisher information / Loss function / Linear regression / Consistent estimator / Statistics / Estimation theory / Statistical theory

Statistical Science 2012, Vol. 27, No. 4, 538–557 DOI: [removed]STS400 © Institute of Mathematical Statistics, 2012 A Unified Framework for High-Dimensional

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Source URL: www.cs.utexas.edu

Language: English - Date: 2013-11-23 00:17:42
168Robust statistics / Econometrics / Statistical theory / Linear regression / Robust regression / Generalized linear model / Poisson regression / Estimator / Ordinary least squares / Statistics / Regression analysis / Estimation theory

On Robust Estimation of High Dimensional Generalized Linear Models Eunho Yang Ambuj Tewari Pradeep Ravikumar Department of Computer Science Department of Statistics

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Source URL: www.cs.utexas.edu

Language: English - Date: 2013-06-28 15:47:04
169Logic / Statistical theory / Regression analysis / Maximum likelihood / Linear regression / Entailment / Projection / Loss function / Dimensional analysis / Statistics / Estimation theory / Econometrics

A unified framework for high-dimensional analysis of M -estimators with decomposable regularizers Sahand Negahban Department of EECS UC Berkeley sahand [removed]

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Source URL: www.cs.utexas.edu

Language: English - Date: 2009-11-18 14:28:49
170Maximum likelihood / Fisher information / Exponentiation / Identifiability / Poisson regression / Parametric model / Estimation theory / Statistics / Statistical theory

Presented at NIPS-2006 conference December 2006; Vancouver, BC, Canada High-Dimensional Graphical Model Selection Using ℓ1-Regularized Logistic Regression Martin J. Wainwright

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Source URL: www.cs.cmu.edu

Language: English - Date: 2007-01-25 11:48:23
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