D
David Ruppert
Researcher at Cornell University
Publications - 256
Citations - 30792
David Ruppert is an academic researcher from Cornell University. The author has contributed to research in topics: Estimator & Nonparametric regression. The author has an hindex of 61, co-authored 252 publications receiving 27137 citations. Previous affiliations of David Ruppert include University of Vermont & University of North Carolina at Chapel Hill.
Papers
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Journal ArticleDOI
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
TL;DR: The Elements of Statistical Learning: Data Mining, Inference, and Prediction as discussed by the authors is a popular book for data mining and machine learning, focusing on data mining, inference, and prediction.
Book
Measurement Error in Nonlinear Models
TL;DR: In this paper, the authors propose fitting methods and models for regression and attenuation in the context of Bayesian methods and nonparametric regression for density estimation and non-parametric regression.
Book
Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition
TL;DR: The second edition of Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revised and re-released in this paper, with a new cover and a new introduction.
Book
Transformation and Weighting in Regression
Raymond J. Carroll,David Ruppert +1 more
TL;DR: The Transform-Both-Sides Methodology as mentioned in this paper combines Transformations and Weighting for least square estimation and inference for Variance Functions, which has been applied to generalized least squares and the analysis of heteroscedasticity.
Journal ArticleDOI
Multivariate Locally Weighted Least Squares Regression
David Ruppert,Matt P. Wand +1 more
TL;DR: In this article, the asymptotic conditional bias and variance of the estimator at points near the boundary of the support of the predictors were derived using weighted least squares matrix theory.