Alan H. Welsh

Orcid: 0000-0002-3165-9559

Affiliations:
  • Australian National University, College of Business and Economics, Acton, ACT, Australia


According to our database1, Alan H. Welsh authored at least 20 papers between 2005 and 2026.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Random effects misspecification and its consequences for prediction in generalized linear mixed models.
Comput. Stat. Data Anal., 2026

2025
CeViT: Copula-Enhanced Vision Transformer in multi-task learning and bi-group image covariates with an application to myopia screening.
CoRR, January, 2025

2024
Likelihood-based surrogate dimension reduction.
Stat. Comput., February, 2024

OU-CoViT: Copula-Enhanced Bi-Channel Multi-Task Vision Transformers with Dual Adaptation for OU-UWF Images.
CoRR, 2024

OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Robust Multivariate Lasso Regression with Covariance Estimation.
J. Comput. Graph. Stat., 2023

CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images.
CoRR, 2023

2020
Synthetic Business Microdata - an Australian example.
J. Priv. Confidentiality, 2020

The LASSO on latent indices for regression modeling with ordinal categorical predictors.
Comput. Stat. Data Anal., 2020

2018
Robust Lasso Regression Using Tukey's Biweight Criterion.
Technometrics, 2018

Bootstrapping longitudinal data with multiple levels of variation.
Comput. Stat. Data Anal., 2018

2016
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions.
Stat. Methods Appl., 2016

2014
Fitting Kent models to compositional data with small concentration.
Stat. Comput., 2014

The generalised bootstrap for clustered data.
Int. J. Data Anal. Tech. Strateg., 2014

2013
Robust model-based sampling designs.
Stat. Comput., 2013

Bootstrapping for highly unbalanced clustered data.
Comput. Stat. Data Anal., 2013

2011
Regression Diagnostics.
Proceedings of the International Encyclopedia of Statistical Science, 2011

2008
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2006
Statistical Modeling of a Ligand Knowledge Base.
J. Chem. Inf. Model., 2006

2005
Prediction of Properties from Simulations: A Re-examination with Modern Statistical Methods.
J. Chem. Inf. Model., 2005


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