David Ruppert

David Ruppert, Ciprian Crainiceanu, Dawn B Woodard, 2013, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Semiparametric Regression: Preface

David Ruppert, Raymond J. Carroll, Matt P. Wand, 2003 .

Density Deconvolution With Additive Measurement Errors Using Quadratic Programming

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

A Fully Automated Bandwidth Selection Method for Fitting Additive Models

David Ruppert, Jean D. Opsomer, D. Ruppert, 1998 .

Uncertainty Analysis for Computationally Expensive Models with Multiple Outputs

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

Regression Dynamic Programming for Multiple-Reservoir Control

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

Spatiotemporal mixed modeling of multi-subject task fMRI via method of moments

R. Nathan Spreng, David S. Matteson, David Ruppert, 2016, NeuroImage.

Semiparametric Regression: Author Index

David Ruppert, Raymond J. Carroll, Matt P. Wand, 2003 .

Customer responsibility for ensuring usability: Requirements on the user interface development process

Antonio C. Siochi, David Ruppert, H. Rex Hartson, 1994, J. Syst. Softw..

Some open problems

David Ruppert, Raymond J. Carroll, 1988 .

Semiparametric Regression: Guide to Notation

David Ruppert, Raymond J. Carroll, Matt P. Wand, 2003 .

Time Series Models

David Ruppert, 2004 .

Semiparametric Regression: Introduction

David Ruppert, Matt P. Wand, Raymond J. Carroll, 2003 .

Factor Models and Principal Components

David S. Matteson, David Ruppert, D. Ruppert, 2011 .

Stochastic Multiple-Reservoir Optimization using Regression Dynamic Programming

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

Likelihood Component Analysis

David S. Matteson, David Ruppert, Benjamin B. Risk, 2015 .

Incorporating misclassification error in skill assessment

David Ruppert, William M. Briggs, Matt Pocernich, 2005 .

A Simple Roughness Penalty Approach to Regression Spline Estimation

David Ruppert, Raymond J. Carroll, D. Ruppert, 1996 .

Penalized regression splines

David Ruppert, Raymond J. Carroll, D. Ruppert, 1999 .

An evaluation of independent component analyses with an application to resting‐state fMRI

David Ruppert, Brian S Caffo, Benjamin B. Risk, 2014, Biometrics.

One-step GM-estimates for Regression with Bounded Influence and High Breakdown-Point

David Ruppert, Douglas G. Simpson, Raymond J. Carroll, 1989 .

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

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

Fitting Mathematical Models to Biological Data: A Review of Recent Developments

David Ruppert, D. Ruppert, 1989 .

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 Models for Multiple Outcomes Nested in Domains

David Ruppert, Sally W Thurston, Philip W Davidson, 2009, Biometrics.

Functional Autoregression for Sparsely Sampled Data

David S. Matteson, Daniel R. Kowal, David Ruppert, 2016, 1603.02982.

Spatially Adaptive Smoothing

David Ruppert, Raymond J. Carroll, Matt P. Wand, 2003 .

Monte Carlo optimization by stochastic approximation (with application to harvesting of Atlantic menhaden)

David Ruppert, Raymond J. Carroll, R. L. Reish, 1986 .

Linear Non-Gaussian Component Analysis Via Maximum Likelihood

David S. Matteson, David Ruppert, Benjamin B. Risk, 2015, Journal of the American Statistical Association.

Selection of Additional Topics

David Ruppert, Jaroslaw Harezlak, Matt P. Wand, 2018 .

Semiparametric Regression: Analyses

David Ruppert, Matt P. Wand, Raymond J. Carroll, 2003 .

The transform-both-sides methodology

David Ruppert, Raymond J. Carroll, 1988 .

Time-Series Models of Dynamic Volatility and Correlation

David S. Matteson, David Ruppert, D. Matteson, 2011, IEEE Signal Processing Magazine.

A mixed model approach to measurement error in semiparametric regression

David Ruppert, Mohammad W. Hattab, D. Ruppert, 2021, Stat. Comput..

A projection-based consistent test incorporating dimension-reduction in partial linear models

David Ruppert, Hua Liang, Zhihua Sun, 2021 .

Bayesian Functional Principal Components Analysis via Variational Message Passing with Multilevel Extensions

David Ruppert, Jeff Goldsmith, Tui H. Nolan, 2021, Bayesian Analysis.

Iterative Likelihood: A Unified Inference Tool

David Ruppert, Dixin Zhang, Haiying Wang, 2021, J. Comput. Graph. Stat..

Density estimation on a network

David Ruppert, Yang Liu, D. Ruppert, 2019, Comput. Stat. Data Anal..

Bootstrap Inference for Quantile-based Modal Regression

David Ruppert, Kengo Kato, Tao Zhang, 2021, Journal of the American Statistical Association.

Transformations and Weighting in Regression.

David Ruppert, Raymond J. Carroll, P. Sprent, 1990 .

Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior: Comment

David Ruppert, Matt P. Wand, Babette A. Brumback, 1999 .

Modeling Functional Data with Spatially Heterogeneous Shape Characteristics

Ana-Maria Staicu, David Ruppert, Ciprian M Crainiceanu, 2012, Biometrics.

Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors

Ciprian M. Crainiceanu, David Ruppert, Raymond J. Carroll, 2004 .

Recursive estimators for stationary strong mixing processes - a representation theorem and asymptotic distributions

David Ruppert, Ulla Holst, Jan-Eric Englund, 1989 .

Optimal Prediction in an Additive Functional Model

David Ruppert, D. Ruppert, Xiao Wang, 2013, 1301.4954.

Empirical Likelihood‐Based Inferences for Generalized Partially Linear Models

David Ruppert, Hua Liang, Yongsong Qin, 2009, Scandinavian journal of statistics, theory and applications.

Fitting a Bivariate Additive Model by Local Polynomial Regression

David Ruppert, Jean D. Opsomer, D. Ruppert, 1997 .

Local polynomial variance-function estimation

David Ruppert, Matt P. Wand, Ola Hössjer, 1997 .

A Transformation/Weighting Model for Estimating Michaelis-Menten Parameters,

Noel A Cressie, David Ruppert, Raymond J. Carroll, 1989 .

Transformations in Density Estimation

James Stephen Marron, David Ruppert, Matt P. Wand, 1991 .

Additive Partial Linear Models with Measurement Errors.

David Ruppert, Hua Liang, Sally W Thurston, 2008, Biometrika.

GARCH MODELS OF DYNAMIC VOLATILITY AND CORRELATION

David S. Matteson, David Ruppert, 2011 .

Theory & Methods: Spatially‐adaptive Penalties for Spline Fitting

David Ruppert, Raymond J. Carroll, D. Ruppert, 2000 .

Transformations in Density Estimation: Rejoinder

James Stephen Marron, David Ruppert, Matt P. Wand, 1991 .

Statistics and Data Analysis for Financial Engineering: with R examples

David S. Matteson, David Ruppert, D. Ruppert, 2015 .

Fitting heteroscedastic regression models

David Ruppert, Raymond J. Carroll, Alan H. Welsh, 1994 .

Convergence of Stochastic Approximation Algorithms with Non-Additive Dependent Disturbances and Applications

David Ruppert, 1983 .

Nonlinear and Nonparametric Regression and Instrumental Variables

Ciprian M. Crainiceanu, David Ruppert, Margaret R. Karagas, 2004 .

Bayesian Smoothing for Measurement Error Problems

David Ruppert, Raymond J. Carroll, Scott M. Berry, 2002 .

Estimating the Interest Rate Term Structure of Corporate Debt With a Semiparametric Penalized Spline Model

David Ruppert, Robert Jarrow, Yan Yu, 2004 .

Prediction and tolerance intervals with transformation and/or weighting

David Ruppert, Raymond J. Carroll, D. Ruppert, 1991 .

Statistics and Finance

David Ruppert, 2004 .

On the asymptotics of penalized spline smoothing

David Ruppert, Jinglai Shen, D. Ruppert, 2011 .

On prediction and the power transformation family

David Ruppert, Raymond J. Carroll, D. Ruppert, 1981 .

Transformations to symmetry and homoscedasticity

David Ruppert, Brian Kent Aldershof, D. Ruppert, 1989 .

Power Transformations When Fitting Theoretical Models to Data

David Ruppert, Raymond J. Carroll, D. Ruppert, 1984 .

Asymptotics for the Transformation Kernel Density Estimator

David Ruppert, Ola Hössjer, D. Ruppert, 1995 .

2 Bayesian Analysis for Penalized Spline Regression Using WinBUGS particular cases of Generalized Linear Mixed Models ( GLMMs

Ciprian M. Crainiceanu, David Ruppert, M. P. Wand, 2005 .

Nonparametric Regression and Spline Smoothing

David Ruppert, D. Ruppert, 2001 .

Semiparametric Regression with R

David Ruppert, Jaroslaw Harezlak, Matt P. Wand, 2018 .

Tapered Covariance: Bayesian Estimation and Asymptotics

David Ruppert, Benjamin A. Shaby, D. Ruppert, 2012 .

Local Estimating Equations

David Ruppert, Raymond J. Carroll, Alan H. Welsh, 1998 .

Nonparametric estimation of the transformation in the transform-both-sides regression model

David Ruppert, Naisyin Wang, D. Ruppert, 1995 .

Transformation and Weighting

David Ruppert, D. Ruppert, 2014 .

Sequential Nonparametric Age Replacement Policies

David Ruppert, Edward W. Frees, D. Ruppert, 1985 .

Statistical Analysis, Special Problems of: Transformations of Data

David Ruppert, D. Ruppert, 2001 .

RAPTT: An Exact Two-Sample Test in High Dimensions Using Random Projections

David Ruppert, Radhendushka Srivastava, Ping Li, 2014, 1405.1792.

Variable selection and function estimation in additive nonparametric regression using a data-based prior. Commentary. Authors' reply

Thomas S. Shively, Robert Kohn, David Ruppert, 1999 .

Local Polynomial Regression and Its Applications in Environmental Statistics

David Ruppert, 1996 .

Simple Transformation Techniques for Improved Non‐parametric Regression

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

The Effect of Estimating Weights in Weighted Least Squares

David Ruppert, Raymond J. Carroll, D. Ruppert, 1988 .

Regression with spatially misaligned data

David Ruppert, Naomi S. Altman, Lisa Madsen, 2008 .

On Robust Tests for Heteroscedasticity

David Ruppert, Raymond J. Carroll, D. Ruppert, 1981 .

Robust Estimation in Heteroscedastic Linear Models.

David Ruppert, Raymond J. Carroll, D. Ruppert, 1982 .

Improving MCMC Mixing for a GLMM Describing Pathogen Concentrations in Water Supplies

Jery R. Stedinger, Ciprian M. Crainiceanu, David Ruppert, 2002 .

Modeling the U.S. national distribution of waterborne pathogen concentrations with application to Cryptosporidium parvum

Jery R. Stedinger, Ciprian M. Crainiceanu, David Ruppert, 2003 .

Estimating the density of a conditional expectation

Daniel W. Apley, Shane G. Henderson, David Ruppert, 2016 .

Equivalence of regression calibration methods in main study/external validation study designs

David Ruppert, Donna Spiegelman, Sally W. Thurston, 2003 .

Empirical-bias bandwidths for local polynomialnonparametric regression and density estimationDavid

David Ruppert, 1997 .

Fitting heteroscedastic regression models to individual pharmacokinetic data using standard statistical software

David Ruppert, David M. Giltinan, D. Ruppert, 1989, Journal of Pharmacokinetics and Biopharmaceutics.

Aberrant Crypt Foci and Semiparametric Modeling of Correlated Binary Data

David Ruppert, Raymond J Carroll, Robert S Chapkin, 2008, Biometrics.

Local polynomial regression and simulation–extrapolation

David Ruppert, John Staudenmayer, D. Ruppert, 2004 .

Regression and Attenuation

David Ruppert, Raymond J. Carroll, Leonard A. Stefanski, 1995 .

A Root-n Consistent Backfitting Estimator for Semiparametric Additive Modeling

David Ruppert, Jean D. Opsomer, D. Ruppert, 1999 .

The Use And Misuse Of Orthogonal Regression Estimation In Linear Errors-In-Variables Models

David Ruppert, Raymond J. Carroll, D. Ruppert, 1994 .

Statistics and Finance: An Introduction

David Ruppert, D. Ruppert, 2005 .

Restricted Likelihood Ratio Tests in Nonparametric Longitudinal Models Short title: Restricted LR Tests in Longitudinal Models

Ciprian M. Crainiceanu, David Ruppert, D. Ruppert, 2004 .

Bias reduction in kernel density estimation by smoothed empirical transformations

David Ruppert, Daren B. H. Cline, D. Ruppert, 1994 .