20 citations · 52 across the 10 of their papers we have counts for
10 papers
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…
Early Indicators of Scientific Impact: Predicting Citations with Altmetrics
Akhil Pandey Akella, Hamed Alhoori, Pavan Ravikanth Kondamudi +2
Identifying important scholarly literature at an early stage is vital to the academic research community and other stakeholders such as technology companies and government bodies.…
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…
spBayesSurv: Fitting Bayesian Spatial Survival Models Using R
Haiming Zhou, Timothy Hanson, Jiajia Zhang
Spatial survival analysis has received a great deal of attention over the last 20 years due to the important role that geographical information can play in predicting survival. Thi…
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…
A unified framework for fitting Bayesian semiparametric models to arbitrarily censored survival data, including spatially-referenced data
Haiming Zhou, Timothy Hanson
A comprehensive, unified approach to modeling arbitrarily censored spatial survival data is presented for the three most commonly-used semiparametric models: proportional hazards,…
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…
Modeling county level breast cancer survival data using a covariate-adjusted frailty proportional hazards model
Haiming Zhou, Timothy Hanson, Alejandro Jara +1
Understanding the factors that explain differences in survival times is an important issue for establishing policies to improve national health systems. Motivated by breast cancer…