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Robust statistics
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#	Item
41	Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach John C. Duchi1 Peter W. Glynn2 Add to Reading List Source URL: stanford.edu Language: English - Date: 2016-07-20 19:02:49 Normal distribution Central limit theorem
42	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: cvg.ethz.ch Language: English - Date: 2015-10-14 10:46:51 Robust statistics RANSAC SRI International Spatial verification
43	The utility of a global tree cover map for estimating local forest area Ronald E. McRoberts Christophe Sannier Erik Næsset Matthew Hansen Add to Reading List Source URL: www.gofcgold.wur.nl Language: English - Date: 2015-11-18 03:09:14 Estimation theory Statistical inference Trees Statistical theory Robust statistics Estimator Forest inventory Statistics Forest Canopy L-estimator
44	Ann Inst Stat Math:589–619 DOIs10463Influence diagnostics for robust P-splines using scale mixture of normal distributions Felipe Osorio Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-06-28 03:34:42 Statistical theory Estimation theory Robust statistics Statistical methods Econometrics Outlier Maximum likelihood estimation Efficiency Expectationmaximization algorithm Spline Regression analysis Normal distribution
45	Stacked Calibration of Off-Policy Policy Evaluation for Video Game Matchmaking Eric Laufer∗ , Raul Chandias Ferrari∗ , Li Yao∗ , Olivier Delalleau† and Yoshua Bengio∗ ∗ Dept. IRO, University of Montreal Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Artificial neural network Computational neuroscience Mathematical psychology Reinforcement learning Generalization error Deep learning Bayesian network Economic model Robust statistics Expected value Statistics Machine learning
46	Latent Outlier Detection and the Low Precision Problem Fei Wang, Sanjay Chawla and Didi Surian University of Sydney Add to Reading List Source URL: www.outlier-analytics.org Language: English - Date: 2013-08-13 08:05:46 Linear algebra Matrix theory Multivariate statistics Robust statistics Non-negative matrix factorization Outlier Singular value decomposition
47	DSP: Robust Semi-Supervised Dimensionality Reduction using Dual Subspace Projections Su Yan∗ Sofien Bouaziz Dongwon Lee IBM Almaden Research Center Ecole Polytechnique F´ed´erale de Lausanne Pennsylvania State Univer Add to Reading List Source URL: sofienbouaziz.com Language: English - Date: 2015-11-19 01:50:34 Multivariate statistics Dimension reduction Geostatistics Functional analysis Linear algebra Dimensionality reduction Principal component analysis Nonlinear dimensionality reduction K-nearest neighbors algorithm Cluster analysis Kernel method Linear discriminant analysis
48	Incorporating MR, ER and Robustness in Mean Variance Portfolio Choice F. Cavadini, A. Sbuelz, F. Trojani ECAS Course, Lugano, October 7-13, 2001 Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2009-01-27 08:17:17 Estimation theory Statistical inference Statistical theory Bayesian statistics Decision theory Robust statistics L-estimator Expected utility hypothesis Estimator Prior probability Bayes estimator Frequentist inference
49	AUTOMATIC OUTLIER DETECTION IN MUSIC GENRE DATASETS Yen-Cheng Lu1 Chih-Wei Wu2 Chang-Tien Lu1 Add to Reading List Source URL: wp.nyu.edu Language: English - Date: 2016-08-16 16:20:31 Data mining Robust statistics Outlier Statistical analysis Local outlier factor Anomaly detection Statistical theory K-nearest neighbors algorithm RANSAC Hans-Peter Kriegel Support vector machine Cluster analysis
50	Incremental Learning for Robust Visual Tracking ∗ David A. Ross∗ Jongwoo Lim† Ruei-Sung Lin‡ Ming-Hsuan Yang† University of Toronto † Honda Research Institute, USA ‡ Motorola Labs Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-08-14 20:46:19 Linear algebra Multivariate statistics Matrix theory Dimension reduction Numerical linear algebra Singular value decomposition Covariance Principal component analysis Normal distribution Kalman filter Linear discriminant analysis Eigenvalues and eigenvectors