7 citations · 21 across the 12 of their papers we have counts for
12 papers
Elliptically symmetric distributions for directional data of arbitrary dimension
Zehao Yu, Xianzheng Huang
We formulate a class of angular Gaussian distributions that allows different degrees of isotropy for directional random variables of arbitrary dimension. Through a series of novel…
The flexible Gumbel distribution: A new model for inference about the mode
Qingyang Liu, Xianzheng Huang, Haiming Zhou
A new unimodal distribution family indexed by the mode and three other parameters is derived from a mixture of a Gumbel distribution for the maximum and a Gumbel distribution for t…
Parametric Modal Regression with Error in Covariates
Qingyang Liu, Xianzheng Huang
An inference procedure is proposed to provide consistent estimators of parameters in a modal regression model with a covariate prone to measurement error. A score-based diagnostic…
Bayesian Modal Regression based on Mixture Distributions
Qingyang Liu, Xianzheng Huang, Rai Bai
Compared to mean regression and quantile regression, the literature on modal regression is very sparse. A unifying framework for Bayesian modal regression is proposed, based on a f…
Corrected score methods for estimating Bayesian networks with error-prone nodes
Xianzheng Huang, Hongmei Zhang
Motivated by inferring cellular signaling networks using noisy flow cytometry data, we develop procedures to draw inference for Bayesian networks based on error-prone data. Two met…
Local polynomial regression for pooled response data
Dewei Wang, Xichen Mou, Xiang Li +1
We propose local polynomial estimators for the conditional mean of a continuous response when only pooled response data are collected under different pooling designs. Asymptotic pr…
Conditional density estimation with covariate measurement error
Xianzheng Huang, Haiming Zhou
We consider estimating the density of a response conditioning on an error-prone covariate. Motivated by two existing kernel density estimators in the absence of covariate measureme…
Parametric mode regression for bounded responses
Haiming Zhou, Xianzheng Huang
We propose new parametric frameworks of regression analysis with the conditional mode of a bounded response as the focal point of interest. Covariate effects estimation and predict…
Bandwidth selection for nonparametric modal regression
Haiming Zhou, Xianzheng Huang
In the context of estimating local modes of a conditional density based on kernel density estimators, we show that existing bandwidth selection methods developed for kernel density…
An alternative local polynomial estimator for the error-in-variables problem
Xianzheng Huang, Haiming Zhou
We consider the problem of estimating a regression function when a covariate is measured with error. Using the local polynomial estimator of Delaigle, Fan, and Carroll (2009) as a…
Nonparametric modal regression in the presence of measurement error
Haiming Zhou, Xianzheng Huang
In the context of regressing a response on a predictor , we consider estimating the local modes of the distribution of given when is prone to measurement error…
Bayesian registration of functions and curves
Wen Cheng, Ian L. Dryden, Xianzheng Huang
Bayesian analysis of functions and curves is considered, where warping and other geometrical transformations are often required for meaningful comparisons. We focus on two applicat…