activity
20112020
most citedA goodness-of-fit test for bivariate extreme-value copulas

95 citations · 252 across the 11 of their papers we have counts for

collaborators

11 papers

stat.ME2020★ 6 cited

Moving-Resting Process with Measurement Error in Animal Movement Modeling

Chaoran Hu, Mark Elbroch, Thomas Meyer +2

Statistical modeling of animal movement is of critical importance. The continuous trajectory of an animal's movements is only observed at discrete, often irregularly spaced time po…

math.PR2019

On Occupation Time for On-Off Processes with Multiple Off-States

Chaoran Hu, Vladimir Pozdnyakov, Jun Yan

The need to model a Markov renewal on-off process with multiple off-states arise in many applications such as economics, physics, and engineering. Characterization of the occupatio…

stat.CO2018★ 13 cited

Density and Distribution Evaluation for Convolution of Independent Gamma Variables

Chaoran Hu, Vladimir Pozdnyakov, Jun Yan

Several numerical evaluations of the density and distribution of convolution of independent gamma variables are compared in their accuracy and speed. In application to renewal proc…

stat.ME2018★ 5 cited

On estimation for Brownian motion governed by telegraph process with multiple off states

Vladimir Pozdnyakov, L. Mark Elbroch, Chaoran Hu +2

Brownian motion whose infinitesimal variance changes according to a three-state continuous time Markov Chain is studied. This Markov Chain can be viewed as a telegraph process with…

stat.ME2016★ 87 cited

Automated Threshold Selection for Extreme Value Analysis via Goodness-of-Fit Tests with Application to Batched Return Level Mapping

Brian Bader, Jun Yan, Xuebin Zhang

Threshold selection is a critical issue for extreme value analysis with threshold-based approaches. Under suitable conditions, exceedances over a high threshold have been shown to…

stat.ME2016★ 27 cited

Automated Selection of r for the r Largest Order Statistics Approach with Adjustment for Sequential Testing

Brian Bader, Jun Yan, Xuebin Zhang

The r largest order statistics approach is widely used in extreme value analysis because it may use more information from the data than just the block maxima. In practice, the choi…