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High-dimensional statistics
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#	Item
261	High-dimensional statistics: Some progress and challenges ahead Add to Reading List Source URL: reading-group.net.technion.ac.il Language: English - Date: 2013-12-03 04:23:36 Econometrics Asymptotic theory Linear regression Loss function Estimator Fisher information Maximum likelihood Statistics Estimation theory Statistical theory
262	STRATIFICATION LEARNING: DETECTING MIXED DENSITY AND DIMENSIONALITY IN HIGH DIMENSIONAL POINT CLOUDS By Gloria Haro Gregory Randall Add to Reading List Source URL: ima.umn.edu Language: English - Date: 2011-10-06 10:32:50 Machine learning Differential topology Expectation–maximization algorithm Missing data Mixture model Manifold Maximum likelihood Statistics Estimation theory Cluster analysis
263	ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification Vineet Chaoji∗ Geng Li† Add to Reading List Source URL: www.cs.rpi.edu Language: English - Date: 2011-02-04 14:33:02 Hierarchical clustering K-means clustering Spectral clustering Medoid Segmentation Clustering high-dimensional data Statistics Cluster analysis DBSCAN
264	Identifying Nonlinear Correlations in High Dimensional Data with Application to Protein Molecular Dynamics Simulations Add to Reading List Source URL: userpages.umbc.edu Language: English - Date: 2013-10-25 09:37:19 Multivariate statistics Econometrics Molecular modelling Correlation and dependence Regression analysis Molecular dynamics Covariance Variance Nonlinear dimensionality reduction Statistics Covariance and correlation Data analysis
265	High dimensional statistical inference and random matrices Iain M. Johnstone∗ Add to Reading List Source URL: www.mathunion.org Language: English - Date: 2012-04-18 10:58:44 Data analysis Probability theory Random matrices Principal component analysis Covariance matrix Wishart distribution Random matrix Factor analysis Canonical correlation Statistics Multivariate statistics Covariance and correlation
266	Scaling log-linear analysis to high-dimensional data François Petitjean, Geoﬀrey I. Webb and Ann E. Nicholson Faculty of Information Technology Add to Reading List Source URL: www.tiny-clues.eu Language: English - Date: 2013-10-07 03:26:27 Econometrics Graphical models Networks Data analysis Stepwise regression Bayesian network Logistic regression Log-linear model Linear regression Statistics Regression analysis Estimation theory
267	High-Dimensional Data Analysis: The Curses and Blessings of Dimensionality David L. Donoho Add to Reading List Source URL: www-stat.stanford.edu Language: English - Date: 2000-08-07 13:34:18 Data analysis John Tukey Data mining Curse of dimensionality Mathematical proof Principal component analysis Exploratory data analysis Mathematical analysis Mathematical model Statistics Mathematics Science
268	Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution Lei Yu Add to Reading List Source URL: www.public.asu.edu Language: English - Date: 2003-07-01 13:00:52 Dimension reduction Multivariate statistics Feature selection Model selection Search algorithms Pattern recognition Algorithm K-nearest neighbor algorithm Supervised learning Statistics Machine learning Artificial intelligence
269	High dimensional statistical inference and random matrices Iain M. Johnstone∗ Add to Reading List Source URL: www.icm2006.org Language: English - Date: 2013-10-02 08:04:04 Data analysis Probability theory Random matrices Principal component analysis Covariance matrix Wishart distribution Random matrix Factor analysis Canonical correlation Statistics Multivariate statistics Covariance and correlation
270	PDF Document Add to Reading List Source URL: dbs.informatik.uni-halle.de Language: English - Date: 2000-06-06 10:09:34 Data mining Machine learning Image processing K-medoids Medoid Clustering high-dimensional data Nearest neighbor search Segmentation K-medians clustering Statistics Computational statistics Cluster analysis

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