activity
20082023
most citedComment: Understanding OR, PS and DR

72 citations · 159 across the 25 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

stat.ME2020★ 1 cited

Consistent and robust inference in hazard probability and odds models with discrete-time survival data

Zhiqiang Tan

For discrete-time survival data, conditional likelihood inference in Cox's hazard odds model is theoretically desirable but exact calculation is numerical intractable with a modera…

stat.ME2020★ 1 cited

Doubly Robust Semiparametric Inference Using Regularized Calibrated Estimation with High-dimensional Data

Satyajit Ghosh, Zhiqiang Tan

Consider semiparametric estimation where a doubly robust estimating function for a low-dimensional parameter is available, depending on two working models. With high-dimensional da…

stat.ME2020★ 4 cited

High-dimensional Model-assisted Inference for Local Average Treatment Effects with Instrumental Variables

Baoluo Sun, Zhiqiang Tan

Consider the problem of estimating the local average treatment effect with an instrument variable, where the instrument unconfoundedness holds after adjusting for a set of measured…

stat.CO2020★ 2 cited

Hamiltonian Assisted Metropolis Sampling

Zexi Song, Zhiqiang Tan

Various Markov chain Monte Carlo (MCMC) methods are studied to improve upon random walk Metropolis sampling, for simulation from complex distributions. Examples include Metropolis-…

math.ST2020★ 1 cited

On loss functions and regret bounds for multi-category classification

Zhiqiang Tan, Xinwei Zhang

We develop new approaches in multi-class settings for constructing proper scoring rules and hinge-like losses and establishing corresponding regret bounds with respect to the zero-…