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01/25/2022
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
We consider quantile estimation in a semi-supervised setting, characteri...
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07/15/2021
Nonparametric, tuning-free estimation of S-shaped functions
We consider the nonparametric estimation of an S-shaped regression funct...
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03/23/2021
On the global identifiability of logistic regression models with misclassified outcomes
In the last decade, the secondary use of large data from health systems,...
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06/29/2020
Data integration in high dimension with multiple quantiles
This article deals with the analysis of high dimensional data that come ...
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02/17/2020
Nonparametric Bayesian Deconvolution of a Symmetric Unimodal Density
We consider nonparametric measurement error density deconvolution subjec...
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12/11/2019
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology
Estimating the marginal and joint densities of the long-term average int...
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10/14/2019
Gaussian Processes with Errors in Variables: Theory and Computation
Covariate measurement error in nonparametric regression is a common prob...
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08/11/2019
Finite Sample Hypothesis Tests for Stacked Estimating Equations
Suppose there are two unknown parameters, each parameter is the solution...
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08/11/2019
Sample Splitting as an M-Estimator with Application to Physical Activity Scoring
Sample splitting is widely used in statistical applications, including c...
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07/13/2018
Sparse semiparametric canonical correlation analysis for data of mixed types
Canonical correlation analysis investigates linear relationships between...
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10/03/2016
Data Integration with High Dimensionality
We consider a problem of data integration. Consider determining which ge...
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09/28/2010
