Administrative Notes StatisticsLecture 23 •  Homework 7 posted. Due in recitation on Friday, April 22

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

• Regression analysis
• Parametric statistics
• Estimation theory
• Econometrics
• Linear regression
• Simple linear regression
• T-statistic
• Errors and residuals
• Statistics
• Coefficient of determination
• Polynomial regression

Microsoft PowerPoint - rdd

Source URL: terpconnect.umd.edu

• Regression analysis
• Observational study
• Design of experiments
• Econometric modeling
• Regression discontinuity design
• Statistics
• Expected value

Subvector Inference in Local Regression Ke-Li Xuy Texas A&M University December 3, 2014 Abstract

Source URL: www.econ.uiuc.edu

Microsoft PowerPoint - SC6_SN.ppt

Source URL: www.spaceclimate.fi

• Regression analysis
• Statistics
• Estimation theory
• Parametric statistics
• Solar phenomena
• Linear regression
• Multicollinearity
• Ordinary least squares
• Wolf number
• Homoscedasticity
• Sunspot

Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem Aurore D ELAIGLE and Alexander M EISTER In the classical errors-in-variables problem, the goal is to estimate a regression curve from

Source URL: www.ms.unimelb.edu.au

An Analysis of the Determinants of Household Energy Expenditures: Empirical Evidence from the Irish Household Budget Survey by John Eakins Submitted for the Degree of Doctor of Philosophy in Economics

Source URL: www.seec.surrey.ac.uk

• Regression analysis
• Statistics
• Categorical data
• Energy
• Choice modelling
• Discrete choice
• Efficient energy use
• Logit
• Limited dependent variable
• Water heating
• Ordered logit
• Multinomial logistic regression

./bottleneckslopedouble.eps

Source URL: cocosci.berkeley.edu

• Statistics
• Statistical theory
• Estimation theory
• Probability distributions
• Regression analysis
• Parametric statistics
• Normal distribution
• Bayesian network
• Linear regression
• Bayesian inference
• Variance
• Mode

Parallel Coordinate Descent for L1 -Regularized Loss Minimization Joseph K. Bradley † Aapo Kyrola † Danny Bickson Carlos Guestrin

Source URL: select.cs.cmu.edu

• Statistics
• Statistical classification
• Linear algebra
• Mathematical optimization
• Mathematics
• Mathematical analysis
• Regression analysis
• Dimension reduction
• Support vector machine
• Compressed sensing
• Regularized least squares
• Speedup

Implementable confidence sets in high dimensional regression Alexandra Carpentier Statistical Laboratory, Center for Mathematical Sciences - University of Cambridge Abstract

Source URL: jmlr.org

Homework 4 Solution – Stat111 summer 2010 • 2.85 (a) The plot is curved (low at the beginning and end of the year, high in the middle). (b) The regression line is yˆ = 39.392 + 1.4832x. It does not fit well because

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