Statistics 111 Summer 2010 Course Description: The goal of this course is to develop basic tools for data analysis, probability and statistical methods. Key topics covered in the course include exploratory data analysis,

Source URL: www-stat.wharton.upenn.edu

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Nonparametric estimation of the likelihood ratio and divergence functionals 1 XuanLong Nguyen1 , Martin J. Wainwright1,2 and Michael I. Jordan1,2

Source URL: dept.stat.lsa.umich.edu

• Geometry
• Mathematical analysis
• Statistical distance
• Statistics
• F-divergence
• KullbackLeibler divergence
• Divergence
• Bregman divergence
• Distribution
• Hellinger distance

DOIjqas      JQAS 2013; 9(1): 97–111 Robert B. Gramacy*, Shane T. Jensen and Matt Taddy Estimating player contribution in hockey with regularized logistic regression

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• Statistics
• Statistical theory
• Regression analysis
• Linear regression
• Least squares
• Logistic regression
• Ordinary least squares
• Prior probability
• Bayesian linear regression
• Bayesian inference
• Normal distribution
• Statistical power

Journal of Machine Learning Research–1959 Submitted 10/05; PublishedA Unifying View of Sparse Approximate Gaussian Process Regression

Source URL: jmlr.org

• Mathematical analysis
• Statistical theory
• Probability theory
• Normal distribution
• Stable distributions
• Multivariate normal distribution
• Regression analysis
• Gaussian process
• Kalman filter

Statistical methods in natural sciences (VTLocation: Seminar room 1003 at EBC, entrance at Norbyvägen 18D. Course text book: Quinn, G.P. and Keough M.JExperimental design and data analysis for biologists.

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Ann. Geophys., 34, 399–409, 2016 www.ann-geophys.netdoi:angeo © Author(sCC Attribution 3.0 License. Statistical analysis of magnetotail fast flows and

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BIGver9-Bogomolov_4P

Source URL: datapopalliance.org

• Computing
• Economy
• Business intelligence
• Statistical models
• Information
• Machine learning
• Insurance
• Predictive analytics
• Big data
• Data analysis
• Crime concentration
• Geographic information system

Decentralized Detection and Classification using Kernel Methods XuanLong Nguyen XUANLONG @ CS . BERKELEY. EDU Martin J. Wainwright WAINWRIG @ EECS . BERKELEY. EDU

Source URL: dept.stat.lsa.umich.edu

• Operator theory
• Mathematics
• Statistical classification
• Algebra
• Distribution
• Number theory
• Positive-definite kernel
• Support vector machine
• Mathematical analysis
• operator
• Kalman filter

Statistical methods in natural sciences (VTLocation: Seminar room 1003 at EBC, entrance at Norbyvägen 18D. Course text book: Quinn, G.P. and Keough M.JExperimental design and data analysis for biologists.

Source URL: www.biology.uu.se