Jun Yan

Orcid: 0000-0003-4401-7296

Affiliations:
  • University of Connecticut, Department of Statistics, Storrs, CT, USA
  • University of Wisconsin Madison, Department of Statistics, WI, USA (PhD 2007)


According to our database1, Jun Yan authored at least 15 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data.
Stat. Comput., 2024

2023
Extreme value modeling with errors-in-variables in detection and attribution of changes in climate extremes.
Stat. Comput., December, 2023

2022
Generating directed networks with predetermined assortativity measures.
Stat. Comput., 2022

2021
Online Updating of Survival Analysis.
J. Comput. Graph. Stat., 2021

Assortativity measures for weighted and directed networks.
J. Complex Networks, 2021

2020
Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank.
J. Stat. Softw., 2020

Density and distribution evaluation for convolution of independent gamma variables.
Comput. Stat., 2020

2017
Automated selection of r for the r largest order statistics approach with adjustment for sequential testing.
Stat. Comput., 2017

2016
Online Updating of Statistical Inference in the Big Data Setting.
Technometrics, 2016

2014
Fast accelerated failure time modeling for case-cohort data.
Stat. Comput., 2014

2013
Graphics Processing Unit acceleration of the Random Phase Approximation in the projector augmented wave method.
Comput. Phys. Commun., 2013

2011
A goodness-of-fit test for multivariate multiparameter copulas based on multiplier central limit theorems.
Stat. Comput., 2011

Fitting semiparametric regressions for panel count survival data with an R package spef.
Comput. Methods Programs Biomed., 2011

2010
Nonparametric rank-based tests of bivariate extreme-value dependence.
J. Multivar. Anal., 2010

2007
Parallelizing MCMC for Bayesian spatiotemporal geostatistical models.
Stat. Comput., 2007


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