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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Assessing the skill of yes/no forecasts for Markov observations
William M. Briggs,David Ruppert +1 more
TL;DR: In this article, the authors extended the climate skill/value score to the case where the predicted series is first-order Markov in nature, of which, again, precipitation occurrence series can be an example.
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Estimation of regression parameters in a semiparametric transformation model
Naisyin Wang,David Ruppert +1 more
TL;DR: In this article, a semi-parametric transform-both-sides regression model with a nonparametric transformation function is proposed, and a pseudo-maximum likelihood estimator is used to estimate the regression parameters.
Journal ArticleDOI
Multilevel Bayesian framework for modeling the production, propagation and detection of ultra-high energy cosmic rays
TL;DR: In this paper, a multilevel Bayesian framework for assessing association of UHECRs and candidate source populations, and Markov chain Monte Carlo algorithms for estimating model parameters and comparing models by computing, via Chib's method, marginal likelihoods and Bayes factors, are presented.
Posted Content
Bayesian Functional Generalized Additive Models with Sparsely Observed Covariates
TL;DR: A Bayesian version of FGAM for the case of Gaussian errors with identity link function is developed, which allows the functional covariates to be sparsely observed and measured with error, whereas the estimation procedure of McLean et al. (2012) required that they be noiselessly observed on a regular grid.