David Ruppert

Professor
Operations Research & Info Eng DEPT · EN

David Ruppert serves as Professor in Operations Research & Info Eng at Cornell University.

459 publications
28,384 citations
70 h-index
Mathematics
Recent Papers (13)
2020-01-01
Machine Learning Portfolio Allocation
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2019-08-11
Finite Sample Hypothesis Tests for Stacked Estimating Equations
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2019-08-11
Sample Splitting as an M-Estimator with Application to Physical Activity Scoring
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2019-06-22
Density Estimation on a Network
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2019-05-28
Dynamic Shrinkage Processes
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2018-12-05
Density Deconvolution with Additive Measurement Errors using Quadratic Programming
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2017-01-06
Functional Autoregression for Sparsely Sampled Data
Daniel R. KowalProf Assoc, Statistics and Data Science · CALS
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2016-04-21
Simultaneously modelling far-infrared dust emission and its relation to CO emission in star-forming galaxies
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2016-04-07
A Bayesian Multivariate Functional Dynamic Linear Model
Daniel R. KowalProf Assoc, Statistics and Data Science · CALS
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2014-06-25
Fast covariance estimation for high-dimensional functional data
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2014-04-21
Restricted likelihood ratio tests for linearity in scalar-on-function regression
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2013-05-15
Bayesian Functional Generalized Additive Models with Sparsely Observed Covariates
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
2012-01-01
Guilt by Association: Finding Cosmic Ray Sources Using Hierarchical Bayesian Clustering
David RuppertProfessor, Operations Research & Info Eng DEPT · EN
Ira WassermanProfessor, Astronomy · CAS