129 citations · 378 across the 27 of their papers we have counts for
27 papers
Nonparametric, tuning-free estimation of S-shaped functions
Oliver Y. Feng, Yining Chen, Qiyang Han +2
We consider the nonparametric estimation of an S-shaped regression function. The least squares estimator provides a very natural, tuning-free approach, but results in a non-convex…
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…
Data integration in high dimension with multiple quantiles
Guorong Dai, Ursula U. Müller, Raymond J. Carroll
This article deals with the analysis of high dimensional data that come from multiple sources (experiments) and thus have different possibly correlated responses, but share the sam…
Nonparametric Bayesian Deconvolution of a Symmetric Unimodal Density
Ya Su, Anirban Bhattacharya, Yan Zhang +2
We consider nonparametric measurement error density deconvolution subject to heteroscedastic measurement errors as well as symmetry about zero and shape constraints, in particular…
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology
Abhra Sarkar, Debdeep Pati, Bani K. Mallick +1
Estimating the marginal and joint densities of the long-term average intakes of different dietary components is an important problem in nutritional epidemiology. Since these variab…
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…