most citedAn efficient and doubly robust empirical likelihood approach for estimating equations with missing data

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2024

Semiparametric mean and variance joint models with clipped-Laplace link functions for bounded integer-valued time series

Tianqing Liu, Xiaohui Yuan

We present a novel approach for modeling bounded count time series data, by deriving accurate upper and lower bounds for the variance of a bounded count random variable while maint…

stat.ME2024

Semiparametric mean and variance joint models with Laplace link functions for count time series

Tianqing Liu, Xiaohui Yuan

Count time series data are frequently analyzed by modeling their conditional means and the conditional variance is often considered to be a deterministic function of the correspond…

stat.ME2016★ 1 cited

An efficient and doubly robust empirical likelihood approach for estimating equations with missing data

Tianqing Liu, Xiaohui Yuan, Zhaohai Li +1

This paper considers an empirical likelihood inference for parameters defined by general estimating equations, when data are missing at random. The efficiency of existing estimator…