NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (21)

math.ST2007

Discussion: Conditional growth charts

Raymond J. Carroll, David Ruppert

stat.ME2012

Fast Bivariate Penalized Splines: the Sandwich Smoother

Luo Xiao, Yingxing Li, David Ruppert

math.ST2009

Local Asymptotics of P-Spline Smoothing

Xiao Wang, Jinglai Shen, David Ruppert

stat.ME2014

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

Radhendushka Srivastava, Ping Li, David Ruppert

stat.ME2017

Bayesian Functional Generalized Additive Models with Sparsely Observed Covariates

Mathew W. McLean, Fabian Scheipl, Giles Hooker +2

stat.ME2019

Finite Sample Hypothesis Tests for Stacked Estimating Equations

Eli S. Kravitz, Raymond J. Carroll, David Ruppert

The paper proposes a bootstrap-based hypothesis test for stacked estimating equations that uses repeated sample splitting to obtain finite‑sample inference without relying on asymp…

#estimating equations#stacked estimating equations#bootstrap hypothesis testing#sample splitting
math.ST2013

Optimal Prediction in an Additive Functional Model

Xiao Wang, David Ruppert

stat.ME2018

Density Deconvolution with Additive Measurement Errors using Quadratic Programming

Ran Yang, Daniel Apley, Jeremy Staum +1

math.ST2017

Profile Estimation for Partial Functional Partially Linear Single-Index Model

Qingguo Tang, Linglong Kong, David Ruppert +1

stat.ME2013

Restricted Likelihood Ratio Tests for Linearity in Scalar-on-Function Regression

Mathew W. McLean, Giles Hooker, David Ruppert

stat.ME2016

Additive Function-on-Function Regression

Janet S. Kim, Ana-Maria Staicu, Arnab Maity +2

math.ST2012

Local Asymptotics of P-splines

Luo Xiao, Yingxing Li, Tatiyana V. Apanasovich +1

stat.ME2018

Dynamic Shrinkage Processes

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

astro-ph.HE2012

Guilt by Association: Finding Cosmic Ray Sources Using Hierarchical Bayesian Clustering

Kunlaya Soiaporn, David Chernoff, Thomas Loredo +2

stat.ME2016

Functional Autoregression for Sparsely Sampled Data

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

astro-ph.GA2016

Simultaneously modelling far-infrared dust emission and its relation to CO emission in star forming galaxies

Rahul Shetty, Julia Roman-Duval, Sacha Hony +6

stat.ME2014

Fast Covariance Estimation for High-dimensional Functional Data

Luo Xiao, David Ruppert, Vadim Zipunnikov +1

astro-ph.HE2013

Multilevel Bayesian framework for modeling the production, propagation and detection of ultra-high energy cosmic rays

Kunlaya Soiaporn, David Chernoff, Thomas Loredo +2

stat.ME2017

Linear Non-Gaussian Component Analysis via Maximum Likelihood

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

stat.ME2019

Sample Splitting as an M-Estimator with Application to Physical Activity Scoring

Eli S. Kravitz, Raymond J. Carroll, David Ruppert

The paper studies how to use sample splitting as an M‑estimation technique to obtain valid inference when a physical activity score, built on part of the data, is reused as a covar…

#sample splitting#m-estimation#post‑selection inference#estimating equations
stat.ME2015

A Bayesian Multivariate Functional Dynamic Linear Model

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