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08/17/2023
Estimating Mean Viral Load Trajectory from Intermittent Longitudinal Data and Unknown Time Origins
Viral load (VL) in the respiratory tract is the leading proxy for assess...
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04/23/2023
Silent Abandonment in Contact Centers: Estimating Customer Patience from Uncertain Data
In the quest to improve services, companies offer customers the opportun...
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05/11/2022
A zero-estimator approach for estimating the signal level in a high-dimensional model-free setting
We study a high-dimensional regression setting under the assumption of k...
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05/30/2021
Improving Efficiency of Tests for Composite Null Hypotheses
The goal of mediation analysis is to study the effect of exposure on an ...
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02/14/2021
Improved Estimators for Semi-supervised High-dimensional Regression Model
We study a linear high-dimensional regression model in a semi-supervised...
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06/03/2019
Semiparametric Analysis of the Proportional Likelihood Ratio Model and Omnibus Estimation Procedure
We provide a semi-parametric analysis for the proportional likelihood ra...
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03/05/2019
Hoeffding-Type and Bernstein-Type Inequalities for Right Censored Data
We present Hoeffding-type and Bernstein-type inequalities for right-cens...
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06/07/2018
Kernel Machines With Missing Responses
Missing responses is a missing data format in which outcomes are not alw...
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03/06/2018
Self-reporting and screening: Data with current-status and censored observations
We consider survival data that combine three types of observations: unce...
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05/05/2015
Support Vector Machines for Current Status Data
Current status data is a data format where the time to event is restrict...
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04/18/2013
Feature Elimination in Kernel Machines in moderately high dimensions
We develop an approach for feature elimination in statistical learning w...
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02/23/2012
Support Vector Regression for Right Censored Data
We develop a unified approach for classification and regression support ...
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08/06/2008