activity
20112017
most citedA two-stage hybrid procedure for estimating an inverse regression function

13 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2017

Generalized Meta-Analysis for Multiple Regression Models Across Studies with Disparate Covariate Information

Prosenjit Kundu, Runlong Tang, Nilanjan Chatterjee

Meta-analysis, because of both logistical convenience and statistical efficiency, is widely popular for synthesizing information on common parameters of interest across multiple st…

stat.ME2013★ 1 cited

Two-Stage Plans for Estimating a Threshold Value of a Regression Function

Runlong Tang, Moulinath Banerjee, George Michailidis +1

This study investigates two-stage plans based on nonparametric procedures for estimating an inverse regression function at a given point. Specifically, isotonic regression is used…

math.ST2012★ 7 cited

Partial Consistency with Sparse Incidental Parameters

Jianqing Fan, Runlong Tang, Xiaofeng Shi

Penalized estimation principle is fundamental to high-dimensional problems. In the literature, it has been extensively and successfully applied to various models with only structur…

math.ST2012★ 12 cited

Likelihood based inference for current status data on a grid: A boundary phenomenon and an adaptive inference procedure

Runlong Tang, Moulinath Banerjee, Michael R. Kosorok

In this paper, we study the nonparametric maximum likelihood estimator for an event time distribution function at a point in the current status model with observation times support…

math.ST2011★ 13 cited

A two-stage hybrid procedure for estimating an inverse regression function

Runlong Tang, Moulinath Banerjee, George Michailidis

We consider a two-stage procedure (TSP) for estimating an inverse regression function at a given point, where isotonic regression is used at stage one to obtain an initial estimate…