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Robust statistics
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#	Item
81	Administrative Notes StatisticsLecture 5 •  Homework 1 was posted on Tuesday –  Due in recitation on Friday, February 5 Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-01-27 11:55:24 Descriptive statistics Statistics Data analysis Summary statistics Means Robust statistics Interquartile range Outlier Quartile Mode Box plot Median
82	Robust Structural Metric Learning Daryl K. H. Lim Department of Electrical and Computer Engineering, University of California, San Diego, CAUSA Brian McFee Add to Reading List Source URL: bmcfee.github.io Language: English - Date: 2016-05-31 12:44:38 Statistics Information science Information retrieval Machine learning Learning to rank Monotone likelihood ratio K-nearest neighbors algorithm Random sample consensus
83	Robust (Bayesian) Inference Chris Holmes Professor of Biostatistics, University of Oxford, Department of Statistics & Wellcome Trust Centre for Human Genetics MLSS 2014 Add to Reading List Source URL: mlss2014.hiit.fi Language: English - Date: 2014-05-04 12:13:48
84	Automated Algorithmic Error Resilience for Structured Grid Problems based on Outlier Detec;on Amoghavarsha Suresh and John Sartori University of Add to Reading List Source URL: cgo.org Language: English - Date: 2014-02-26 13:50:33 Statistics Robust statistics Statistical theory Regression analysis Error Outlier Statistical analysis Resilience Errors and residuals Psychological resilience
85	Ann Inst Stat Math:413–437 DOIs10463Robust Bayes estimation using the density power divergence Abhik Ghosh · Ayanendranath Basu Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-03-28 21:34:02 Statistics Statistical theory Estimation theory Statistical inference Bayesian statistics Bayesian inference Robust statistics Bayes estimator Estimator Bayes Robust Bayesian analysis Efficiency
86	Ann Inst Stat Math:329–351 DOIs10463Expectation-robust algorithm and estimating equations for means and dispersion matrix with missing data Ke-Hai Yuan · Wai Chan · Yubin Tian Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-03-28 21:34:01 Statistics Estimation theory Covariance matrix Estimator Maximum likelihood estimation Variance Covariance Regression analysis M-estimator Normal distribution Linear regression Expected value
87	Shift-Pessimistic Active Learning Using Robust Bias-aware Prediction Anqi Liu, Lev Reyzin and Brian D. Ziebart University of Illinois at Chicago , , Introduction •  Add to Reading List Source URL: www.levreyzin.com Language: English Statistics Knowledge Estimation theory Academia Statistical inference Machine learning Generalization error Confidence interval Regression analysis Kernel density estimation
88	Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction Anqi Liu Lev Reyzin Brian D. Ziebart Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2014-11-21 20:49:00 Machine learning Statistics Learning Estimation theory Statistical theory M-estimators Supervised learning Generalization error Cross entropy Maximum likelihood estimation Regression analysis Loss function
89	Fast Outlier Detection Despite the Duplicates Jay-Yoon Lee1 1 U Kang2 Add to Reading List Source URL: www2013.wwwconference.org Language: English - Date: 2014-07-21 08:46:56 Statistics Information Data mining Robust statistics Outlier Statistical analysis Local outlier factor FADD K-nearest neighbors algorithm Anomaly detection PageRank
90	LNCSMulti-modal and Multi-spectral Registration for Natural Images Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2014-08-21 04:15:14 Feature detection Signal processing Speeded up robust features Motion estimation Cross-correlation Electrical engineering Statistics

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