most citedExtreme Continuous Treatment Effects: Measures, Estimation and Inference

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2022

TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective

Pengfei Xi, Guifeng Wang, Zhipeng Hu +8

Determining causal effects of temporal multi-intervention assists decision-making. Restricted by time-varying bias, selection bias, and interactions of multiple interventions, the…

math.ST2022

Nonparametric Estimation of the Continuous Treatment Effect with Measurement Error

Wei Huang, Zheng Zhang

We identify the average dose-response function (ADRF) for a continuously valued error-contaminated treatment by a weighted conditional expectation. We then estimate the weights non…

math.ST2022

Nonparametric Estimation of Mediation Effects with A General Treatment

Lukang Huang, Wei Huang, Oliver Linton +1

To investigate causal mechanisms, causal mediation analysis decomposes the total treatment effect into the natural direct and indirect effects. This paper examines the estimation o…

stat.ME2022

Causal Effect of Functional Treatment

Ruoxu Tan, Wei Huang, Zheng Zhang +1

We study the causal effect with a functional treatment variable, where practical applications often arise in neuroscience, biomedical sciences, etc. Previous research concerning th…

math.ST2022★ 1 cited

Extreme Continuous Treatment Effects: Measures, Estimation and Inference

Wei Huang, Shuo Li, Liuhua Peng

This paper concerns estimation and inference for treatment effects in deep tails of the counterfactual distribution of unobservable potential outcomes corresponding to a continuous…

econ.EM2021

A Unified Framework for Specification Tests of Continuous Treatment Effect Models

Wei Huang, Oliver Linton, Zheng Zhang

We propose a general framework for the specification testing of continuous treatment effect models. We assume a general residual function, which includes the average and quantile t…