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Research


2025

Scalable subset selection in linear mixed models
Ryan Thompson, Matt Wand, and Joanna Wang
Preprint - Code



ProDAG: Projected variational inference for directed acyclic graphs
Ryan Thompson, Edwin Bonilla, and Robert Kohn
Preprint - Code



2024

Semi-supervised Gaussian mixture modelling with a missing data mechanism in R
Ziyang Lyu, Daniel Ahfock, Ryan Thompson, and Geoffrey McLachlan
Australian and New Zealand Journal of Statistics
Publication - Preprint - Code

Contextual directed acyclic graphs
Ryan Thompson, Edwin Bonilla, and Robert Kohn
Proceedings of the 27th International Conference on Artificial Intelligence and Statistics
Publication - Preprint - Code

Familial inference: Tests for hypotheses on a family of centres
Ryan Thompson, Catherine Forbes, Steven MacEachern, and Mario Peruggia
Biometrika
Publication - Preprint - Code

Flexible global forecast combinations
Ryan Thompson, Yilin Qian, and Andrey Vasnev
Omega
Publication - Preprint - Code

Group selection and shrinkage: Structured sparsity for semiparametric additive models
Ryan Thompson and Farshid Vahid
Journal of Computational and Graphical Statistics
Publication - Preprint - Code


2023

The contextual lasso: Sparse linear models via deep neural networks
Ryan Thompson, Amir Dezfouli, and Robert Kohn
Advances in Neural Information Processing Systems
Publication - Preprint - Code


2022

Robust subset selection
Ryan Thompson
Computational Statistics and Data Analysis
Publication - Preprint - Code


2018

Optimal selection of expert forecasts with integer programming
Dmytro Matsypura, Ryan Thompson, and Andrey Vasnev
Omega
Publication - Preprint


Last updated: June 26, 2025.