Near-optimal max-affine estimators for convex regression G´ abor Bal´ azs Andr´

Source URL: jmlr.org

Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich

Source URL: www.zora.uzh.ch

• Statistics
• Regression analysis
• Estimation theory
• Actuarial science
• Statistical models
• Logistic regression
• Prediction
• Linear regression
• Generalized linear model
• Software quality
• Software testing
• Artificial neural network

Measuring Inequality of Opportunity with Latent Variables Florian Wendelspiess Chávez Juárez (University of Geneva, Switzerland) Paper Prepared for the IARIW-IBGE Conference on Income, Wealth and Well-Being in Latin A

Source URL: www.iariw.org

• Statistics
• Probability theory
• Estimation theory
• Covariance and correlation
• Regression analysis
• Algebra of random variables
• Covariance
• Variance
• Correlation and dependence
• Expected value
• Ordinary least squares
• Factor analysis

relifix: Automated Repair of Software Regressions Shin Hwei Tan and Abhik Roychoudhury National University of Singapore {shinhwei,abhik}@comp.nus.edu.sg Abstract—Regression occurs when code changes introduce

Source URL: www.comp.nus.edu.sg

Internet Appendix to “Return Seasonalities” This Internet Appendix derives the expected Fama-MacBeth regression coefficient and details the additional tests discussed in the paper.

Source URL: faculty.chicagobooth.edu

Syllabus notes: Website Welcome to Statistics 111 •  All handouts will be available on the website: http://stat.wharton.upenn.edu/~stjensen/stat111.html

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

• Statistical inference
• Econometrics
• Statistical theory
• Hypothesis testing
• Actuarial science
• Statistics
• Recitation
• Regression analysis
• Statistical hypothesis testing
• Probability
• Confidence interval
• Statistical model

Machine Learning Techniques (機器學習技法) Lecture 5: Kernel Logistic Regression Hsuan-Tien Lin (林軒田)

Source URL: www.csie.ntu.edu.tw

Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa

Source URL: cran.bilkent.edu.tr

Using Regret Estimation to Solve Games Compactly

Source URL: poker.cs.ualberta.ca

• Game theory
• Academia
• Abstraction
• Mathematics
• Solved game
• Mathematical game
• Computational complexity theory
• Mathematical problem
• Nash equilibrium
• Regression analysis
• Extensive-form game

Logistic Regression Jason Rennie April 23, 2003 Abstract This document gives the derivation of logistic regression with and

Source URL: people.csail.mit.edu