• Find an Expert
  • Contact
  • SearchSearch icon
  • Menu
  • Help
  • Report an issue

Contact


Email

weichang.yu@unimelb.edu.au

Credentials


Position
DECRA Fellow
School of Mathematics and Statistics
Education
PhD
The University of Sydney
ORCID

0000-0002-0399-3779

Dr Weichang Yu

DECRA Fellow
School of Mathematics and Statistics

12 Scholarly works
1 Projects

HIGHLIGHTS

  • 2026

    Research grants (ARC, NHMRC, MRFF)

    Enhancing Adaptive Intervention With Bayesian Methods for Complex Data
  • 2025

    Journal article

    Cutting Feedback in Misspecified Copula Models
    DOI: 10.1080/01621459.2025.2464270
  • 2024

    Journal article

    Bayesian Empirical Likelihood Regression for Semiparametric Estimation of Optimal Dynamic Treatment Regimes
    DOI: 10.1002/sim.10251
  • 2024

    Journal article

    A reference-grade genome of the xerophyte Ammopiptanthus mongolicus sheds light on its evolution history in legumes and droughttolerance mechanisms
    DOI: 10.1016/j.xplc.2024.100891
  • 2024

    Journal article

    Bayesian hypothesis tests with diffuse priors: Can we have our cake and eat it too?
    DOI: 10.1111/anzs.12410
  • 2024

    Journal article

    Variational Bayes for Fast and Accurate Empirical Likelihood Inference
    DOI: 10.1080/01621459.2023.2169701
  • 2023

    Journal article

    Bayesian likelihood-based regression for estimation of optimal dynamic treatment regimes
    DOI: 10.1093/jrsssb/qkad016
Weichang Yu

RECENT SCHOLARLY WORKS

  • 2023

    Book Chapter

    Conditional distribution-based downweighting for robust estimation of logistic regression models
    DOI: 10.1007/978-3-031-22687-8_16
  • 2023

    Journal article

    Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data
    DOI: 10.1080/10618600.2022.2098136
  • 2021

    Book Chapter

    Variable Selection with Shrinkage Priors via Sparse Posterior Summaries
    DOI: 10.1201/9781003089018-8
  • 2020

    Journal article

    Variational discriminant analysis with variable selection
    DOI: 10.1007/s11222-020-09928-8

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

About us  

Careers at Melbourne  

Safety and respect  

Newsroom  

Contact  

Campus locations  

Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


Address:
The University of Melbourne
Grattan Street, Parkville,
Victoria, 3010, Australia

facebookIconlinkedinIconinstagramIcon

Emergency information  |  Disclaimer and copyright  |  Accessibility  |  Privacy

CRICOS number: 00116K     ABN: 84 002 705 224