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High-dimensional statistics
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#	Item
251	Belloni, A. and Chernozhukov, V[removed]High Dimensional Sparse Econometric Models: An Introduction. arXiv:[removed]Belloni, Chernozhukov, and Hansen[removed]Inference for high-dimensional sparse econometric models. ar Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-11-16 10:37:01 Learning Machine learning Econometric model Non-parametric statistics ArXiv Econometrics Statistics Science Cybernetics
252	III JIPE BAYESIAN MODELING OF SPARSE HIGH DIMENSIONAL DATA USING DIVERGENCE MEASURES Dipak K. Dey Department of Statistics, University of Connecticut, CT, USA Add to Reading List Source URL: jornada.pucp.edu.pe - Date: 2014-06-04 16:36:47
253	Selection of Interaction Effects for High Dimensional Data Hao Helen Zhang Joint Work with Ning Hao University of Arizona Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-02-26 14:39:43 Analysis of variance Principle of marginality Statistical inference Linear regression Heredity Feature selection Statistics Regression analysis Dimension reduction
254	Linear/conic programming approach to high-dimensional errors-in-variables models Alexandre Tsybakov, joint work with Mathieu Rosenbaum Laboratoire de Statistique, CREST and Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-02-26 14:32:53 Normal distribution Errors-in-variables models Conic section Statistics Geometry Estimation theory
255	On Estimator Selection in High-Dimensional Settings Christophe Giraud Universit´ e Paris Sud Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-02-26 14:37:42 Estimation theory Econometrics Statistical inference Kernel regression Linear regression Additive model Efficient estimator Kernel smoother Estimator Statistics Non-parametric statistics Regression analysis
256	NBER WORKING PAPER SERIES MERGING SIMULATION AND PROJECTION APPROACHES TO SOLVE HIGH-DIMENSIONAL PROBLEMS Kenneth L. Judd Lilia Maliar Add to Reading List Source URL: stanford.edu Language: English - Date: 2012-11-08 22:51:46 Markov chain Invariant measure Stochastic process Algorithm Ergodicity Economic model Alexandra Bellow Statistics Mathematical analysis Ergodic theory
257	AWARDS & ANNOUNCEMENTS Dr. Lee Dicker Dense and Sparse Methods in High-Dimensional Data Analysis Many statistical methods for high-dimensional data analysis begin with the assumption that the parameter of interest is, i Add to Reading List Source URL: statistics.rutgers.edu Language: English - Date: 2013-06-07 14:30:04 Sparse matrix Sparse approximation Information retrieval Science Data analysis Scientific method
258	NBER WORKING PAPER SERIES MERGING SIMULATION AND PROJECTION APPROACHES TO SOLVE HIGH-DIMENSIONAL PROBLEMS Kenneth L. Judd Lilia Maliar Add to Reading List Source URL: stanford.edu Language: English - Date: 2012-11-08 22:51:21 Markov chain Invariant measure Stochastic process Algorithm Ergodicity Economic model Alexandra Bellow Statistics Mathematical analysis Ergodic theory
259	Knowledge Extraction From High Dimensional Data Using Multileveled Self-organization Frank Lemke Abstract Introduction Add to Reading List Source URL: www.knowledgeminer.com Language: English - Date: 2002-08-30 07:37:00 Computational statistics Neural networks Group method of data handling Receiver operating characteristic Cross-validation Knowledge discovery Overfitting Statistics Machine learning Data mining
260	Motivation Biomarker discovery from high-dimensional data is a crucial problem with enormous applications in biology and medicine. It is also extremely challenging from a statistical viewpoint, but surprisingly few studi Add to Reading List Source URL: www.medicine-science.net23.net Language: English - Date: 2013-02-01 02:07:01 Model selection Support vector machine Statistics Dimension reduction Feature selection

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