Computed Torque Control with Nonparametric Regression Models Duy Nguyen-Tuong, Matthias Seeger, Jan Peters Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076 T¨ubingen Abstract— Computed torque

Source URL: www.ias.tu-darmstadt.de

CENTER FOR LABOR ECONOMICS UNIVERSITY OF CALIFORNIA, BERKELEY WORKING PAPER NO. 54 Nonparametric Identification and Estimation of a Censored Regression Model with an Application to Unemployment Insurance Receipt* Songnia

Source URL: cle.berkeley.edu

Nonlinear Nonparametric Regression Models Chunlei Ke and Yuedong Wang ∗ October 20, 2002

Source URL: www.pstat.ucsb.edu

A prior near-ignorance Gaussian Process model for nonparametric regression Francesca Mangili Istituto Dalle Molle di studi sull’Intelligenza Artificiale (IDSIA), Scuola universitaria professionale della Svizzera italia

Source URL: ipg.idsia.ch

Classification of Nonparametric Regression Functions in Longitudinal Data Models Michael Vogt1 Oliver Linton2

Source URL: www.statistik.uni-bonn.de

Estimating residual variance in nonparametric regression using least squares By TIEJUN TONG AND

Source URL: www.pstat.ucsb.edu

Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model

Source URL: www.dcc.fc.up.pt

• Regression analysis
• Statistics
• Estimation theory
• Nonparametric statistics
• Parametric statistics
• Polynomial regression
• Local regression
• Decision tree learning
• Kernel regression
• Ordinary least squares
• Nonparametric regression
• Linear regression

Nonparametric Regression with Correlated Errors Jean Opsomer Iowa State University Yuedong Wang University of California, Santa Barbara

Source URL: www.pstat.ucsb.edu

• Statistics
• Regression analysis
• Autocorrelation
• Linear regression
• Polynomial regression
• Nonparametric regression
• Kernel regression
• Correlation and dependence
• Errors and residuals
• Degrees of freedom
• Variance
• Normal distribution

IEEE TRANSACTION ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 1 Human Pose Estimation with Regression by Fusing Multi-View Visual Information

Source URL: www.ifp.illinois.edu

• Artificial intelligence
• Statistics
• Vision
• Computer vision
• Robot control
• Regression analysis
• Estimation theory
• Pose
• 3D pose estimation
• Pattern recognition
• Linear regression
• Nonparametric regression

STAT: N ONPARAMETRIC I NFERENCE Syllabus, Fall 2015 Nonparametric Inference is an advanced undergraduate and beginning graduate level course in modern nonparametric methods for statistical estimation and infe

Source URL: galton.uchicago.edu

• Statistics
• Statistical theory
• Actuarial science
• Nonparametric statistics
• Statistical inference
• Statistical model
• Larry A. Wasserman
• Regression analysis
• Nonparametric regression
• Regression
• Confidence interval