activity
20072021
most citedA new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment

129 citations · 378 across the 27 of their papers we have counts for

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10 papers · 1 filter

math.ST2021★ 1 cited

On the global identifiability of logistic regression models with misclassified outcomes

Rui Duan, Yang Ning, Jiasheng Shi +3

In the last decade, the secondary use of large data from health systems, such as electronic health records, has demonstrated great promise in advancing biomedical discoveries and i…

math.ST2019★ 2 cited

Gaussian Processes with Errors in Variables: Theory and Computation

Shuang Zhou, Debdeep Pati, Tianying Wang +2

Covariate measurement error in nonparametric regression is a common problem in nutritional epidemiology and geostatistics, and other fields. Over the last two decades, this problem…

math.ST2015★ 19 cited

Estimation and inference in generalized additive coefficient models for nonlinear interactions with high-dimensional covariates

Shujie Ma, Raymond J. Carroll, Hua Liang +1

In the low-dimensional case, the generalized additive coefficient model (GACM) proposed by Xue and Yang [Statist. Sinica 16 (2006) 1423-1446] has been demonstrated to be a powerful…

math.ST2013★ 13 cited

Unexpected properties of bandwidth choice when smoothing discrete data for constructing a functional data classifier

Raymond J. Carroll, Aurore Delaigle, Peter Hall

The data functions that are studied in the course of functional data analysis are assembled from discrete data, and the level of smoothing that is used is generally that which is a…

math.ST2013★ 3 cited

Adaptive Posterior Convergence Rates in Bayesian Density Deconvolution with Supersmooth Errors

Abhra Sarkar, Debdeep Pati, Bani K. Mallick +1

Bayesian density deconvolution using nonparametric prior distributions is a useful alternative to the frequentist kernel based deconvolution estimators due to its potentially wide…

math.ST2011★ 127 cited

Estimation and variable selection for generalized additive partial linear models

Li Wang, Xiang Liu, Hua Liang +1

We study generalized additive partial linear models, proposing the use of polynomial spline smoothing for estimation of nonparametric functions, and deriving quasi-likelihood based…