D. Ruppert

发表

Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming

Christine A. Shoemaker, David Ruppert, Victoria C. P. Chen, 1999, Oper. Res..

Bayesian Calibration and Uncertainty Analysis for Computationally Expensive Models Using Optimization and Radial Basis Function Approximation

Stefan M. Wild, C. Shoemaker, R. Regis, 2008 .

Fast bivariate P‐splines: the sandwich smoother

Luo Xiao, Yingxing Li, David Ruppert, 2013 .

Journal of Computational and Graphical Statistics Functional Generalized Additive Models Functional Generalized Additive Models Accepted Manuscript Accepted Manuscript

Mathew W. McLean, G. Hooker, F. Scheipl, 2022 .

LIKELIHOOD RATIO TESTS FOR THE MEAN STRUCTURE OF CORRELATED FUNCTIONAL PROCESSES

C. Crainiceanu, D. Ruppert, Yingxing Li, 2012 .

Efficient Interpolation of Computationally Expensive Posterior Densities With Variable Parameter Costs

Christine A Shoemaker, Nikolay Bliznyuk, David Ruppert, 2011, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Local Derivative-Free Approximation of Computationally Expensive Posterior Densities

Christine A. Shoemaker, Nikolay Bliznyuk, David Ruppert, 2012, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Smoothness-Penalized Deconvolution (SPeD) of a Density Estimate

D. Ruppert, D. Kent, 2022, 2205.09800.

Fast bivariate P‐splines: the sandwich smoother

Luo Xiao, D. Ruppert, Yingxing Li, 2010, 1011.4916.

Model Checking for Logistic Models When the Number of Parameters Tends to Infinity

D. Ruppert, Hua Liang, Xinmin Li, 2022, J. Comput. Graph. Stat..

Journal of the American Statistical Association Bayesian Models for Multiple Outcomes in Domains with Application to the Seychelles Child Development Study Bayesian Models for Multiple Outcomes in Domains with Application to the Seychelles Child Development Study Accepted Manuscript

D. Ruppert, Luo Xiao, D. Ruppert, 2022 .

Supplement to “A Bayesian Multivariate Functional Dynamic Linear Model”

Daniel R. Kowal, D. Matteson, D. Ruppert, 2015 .

M E ] 1 4 D ec 2 01 6 Additive Function-on-Function Regression

R. Carroll, D. Ruppert, A. Maity, 2018 .

Fast covariance estimation for high-dimensional functional data

C. Crainiceanu, D. Ruppert, V. Zipunnikov, 2014, Statistics and Computing.

Bayesian Calibration of Computationally Expensive Models Using Optimization and Radial Basis Function Approximation

Stefan M. Wild, Pradeep Mugunthan, Christine Shoemaker, 2006 .

Likelihood Ratio Tests for Dependent Data with Applications to Longitudinal and Functional Data Analysis

Ana-Maria Staicu, Yingxing Li, Ciprian M. Crainiceanu, 2014 .

Local Asymptotics of P-splines

Luo Xiao, Yingxing Li, Tatiyana V. Apanasovich, 2012, 1201.0708.

Bivariate Penalized Splines

Luo Xiao, D. Ruppert, Yingxing Li, 2010 .

Density Deconvolution With Additive Measurement Errors Using Quadratic Programming

David Ruppert, Ran Yang, Jeremy Staum, 2018, Journal of Computational And Graphical Statistics.

Measurement errors in semi‐parametric generalised regression models

M. Hattab, D. Ruppert, 2021, Australian & New Zealand Journal of Statistics.

A mixed model approach to measurement error in semiparametric regression

M. Hattab, D. Ruppert, 2021, Statistics and Computing.

Regression Dynamic Programming for Multiple-Reservoir Control

Christine A. Shoemaker, David Ruppert, K.-Y. Daisy Fan, 2000 .

Stochastic Multiple-Reservoir Optimization using Regression Dynamic Programming

Christine A. Shoemaker, David Ruppert, K.-Y. Daisy Fan, 2001 .

Uncertainty Analysis for Computationally Expensive Models with Multiple Outputs

Yilun Wang, Yingxing Li, David Ruppert, 2012, Journal of Agricultural, Biological, and Environmental Statistics.

Simple Transformation Techniques for Improved Non‐parametric Regression

Robert Kohn, David Ruppert, M. C. Jones, 1997 .

Smoothness-Penalized Deconvolution (SPeD) of a Density Estimate

D. Ruppert, D. Kent, 2022, Journal of the American Statistical Association.

Uncertainty Analysis for Computationally Expensive Models with Multiple Outputs

C. Shoemaker, Yilun Wang, D. Ruppert, 2012, Journal of agricultural, biological, and environmental statistics.

Additive Function-on-Function Regression

Ana-Maria Staicu, Arnab Maity, Raymond J. Carroll, 2016, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Restricted likelihood ratio tests for linearity in scalar-on-function regression

Mathew W. McLean, Giles Hooker, David Ruppert, 2013, Stat. Comput..

Functional Generalized Additive Models

Mathew W. McLean, G. Hooker, F. Scheipl, 2014, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Fast Bivariate Penalized Splines: the Sandwich Smoother

Luo Xiao, D. Ruppert, Yingxing Li, 2010 .

Bias-corrected Estimation of the Density of a Conditional Expectation in Nested Simulation Problems

Daniel W. Apley, Jeremy Staum, Ran Yang, 2021, ACM Trans. Model. Comput. Simul..