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High-dimensional statistics
Results: 273

#	Item
171	Merging Simulation and Projection Approaches to Solve High-Dimensional Problems with an Application to a New Keynesian model Lilia Maliar and Serguei Maliar March 9, 2014 Abstract Add to Reading List Source URL: www.qeconomics.org Language: English - Date: 2014-11-24 16:20:39 Mathematical optimization Operations research Ergodic theory Markov chain Economic model Dynamic programming Invariant measure Stochastic process Algorithm Statistics Mathematical analysis Mathematics
172	Merging Simulation and Projection Approaches to Solve High-Dimensional Problems with an Application to a New Keynesian model Lilia Maliar and Serguei Maliar March 9, 2014 Abstract Add to Reading List Source URL: qeconomics.org Language: English - Date: 2014-11-24 16:20:39 Mathematical optimization Operations research Ergodic theory Markov chain Economic model Dynamic programming Invariant measure Stochastic process Algorithm Statistics Mathematical analysis Mathematics
173	Elementary Estimators for High-Dimensional Linear Regression Eunho Yang Department of Computer Science, The University of Texas, Austin, TX 78712, USA EUNHO @ CS . UTEXAS . EDU Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2014-05-12 15:14:08 Econometrics Statistical inference Statistical theory Linear regression Ordinary least squares Maximum likelihood M-estimator Least squares Estimator Statistics Estimation theory Regression analysis
174	In Proc. SIAM Int. Conf. on Data Mining (SDM), Minneapolis, MN, 2007 Robust, Complete, and Eﬃcient Correlation Clustering∗ Elke Achtert, Christian B¨ohm, Hans-Peter Kriegel, Peer Kr¨oger, Arthur Zimek Department I Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2007-06-14 08:04:28 Data analysis Data mining Geostatistics DBSCAN Correlation clustering Principal component analysis K-means clustering Correlation and dependence Clustering high-dimensional data Statistics Multivariate statistics Cluster analysis
175	Network Intrusion Detection using a Secure Ranking of Hidden Outliers Marwan Hassani and Thomas Seidl Data Management and Data Exploration Group RWTH Aachen University, Germany {hassani, seidl}@cs.rwth-aachen.de Add to Reading List Source URL: dme.rwth-aachen.de Language: English - Date: 2015-02-10 13:03:28 Cluster analysis Geostatistics Machine learning Anomaly detection SUBCLU Outlier Intrusion detection system Clustering high-dimensional data Local outlier factor Statistics Data mining Data analysis
176	13th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD 2009), Bangkok, Thailand, 2009 Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data Hans-Peter Kriegel, Peer Kr¨oger, Erich Schuber Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2009-05-13 09:00:11 Data analysis Local outlier factor Multivariate statistics ELKI Outlier Anomaly detection Cluster analysis Hans-Peter Kriegel RANSAC Statistics Data mining Robust statistics
177	Angle-Based Outlier Detection in High-dimensional Data Hans-Peter Kriegel Matthias Schubert Arthur Zimek Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2012-01-20 10:47:17 Data analysis Local outlier factor Outlier Machine learning Anomaly detection RANSAC Hans-Peter Kriegel Plot K-nearest neighbor algorithm Statistics Data mining Robust statistics
178	Detecting Clusters in Moderate-to-High Dimensional Data: Subspace Clustering, Pattern-based Clustering, and Correlation Clustering Hans-Peter Kriegel Peer Kroger Add to Reading List Source URL: www.vldb.org Language: English - Date: 2008-10-23 08:00:13 Clustering high-dimensional data Biclustering Dimension reduction Data mining Feature selection Consensus clustering Statistics Cluster analysis Correlation clustering
179	Subspace Clustering, Ensemble Clustering, Alternative Clustering, Multiview Clustering: What Can We Learn From Each Other? Hans-Peter Kriegel Arthur Zimek Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-08-02 08:28:50 Machine learning Consensus clustering Multivariate statistics Constrained clustering Data mining Correlation clustering Unsupervised learning Hans-Peter Kriegel Clustering high-dimensional data Statistics Cluster analysis Data analysis
180	ASCLU -- Alternative Subspace Clustering Add to Reading List Source URL: eecs.oregonstate.edu Language: English - Date: 2010-09-10 15:10:01 Statistics Cluster analysis Clustering high-dimensional data

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