1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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…
Optimal subsampling algorithm for composite quantile regression with distributed data
Xiaohui Yuan, Shiting Zhou, Yue Wang
For massive data stored at multiple machines, we propose a distributed subsampling procedure for the composite quantile regression. By establishing the consistency and asymptotic n…
Weighted empirical likelihood for quantile regression with nonignorable missing covariates
Xiaohui Yuan, Xiaogang Dong
In this paper, we propose an empirical likelihood-based weighted estimator of regression parameter in quantile regression model with nonignorable missing covariates. The proposed e…
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…