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research.qmd
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research.qmd
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---
title: "Research"
engine: knitr
editor:
markdown:
wrap: 72
---
------------------------------------------------------------------------
<!-- Publications -->
**2024**
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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](https://onlinelibrary.wiley.com/doi/10.1111/anzs.12413) - [Preprint](https://arxiv.org/abs/2302.13206) - [Code](https://cran.r-project.org/web/packages/gmmsslm/index.html)\
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Contextual directed acyclic graphs\
Ryan Thompson, Edwin Bonilla, and Robert Kohn\
Proceedings of the 27th International Conference on Artificial Intelligence and Statistics\
[Publication](https://proceedings.mlr.press/v238/thompson24a.html) - [Preprint](https://arxiv.org/abs/2310.15627) - [Code](https://github.com/ryan-thompson/ContextualDAG.jl)\
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ProDAG: Projection-induced variational inference for directed acyclic graphs\
Ryan Thompson, Edwin Bonilla, and Robert Kohn\
[Preprint](https://arxiv.org/abs/2405.15167) - [Code](https://github.com/ryan-thompson/ProDAG.jl)\
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Familial inference: Tests for hypotheses on a family of centres\
Ryan Thompson, Catherine Forbes, Steven MacEachern, and Mario Peruggia\
Biometrika\
[Publication](https://academic.oup.com/biomet/article/111/3/1029/7453377) - [Preprint](https://arxiv.org/abs/2202.12540) - [Code](https://github.com/ryan-thompson/familial)\
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Flexible global forecast combinations\
Ryan Thompson, Yilin Qian, and Andrey Vasnev\
Omega\
[Publication](https://www.sciencedirect.com/science/article/pii/S0305048324000409) - [Preprint](https://arxiv.org/abs/2207.07318) - [Code](https://github.com/ryan-thompson/global-combinations)\
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Group selection and shrinkage: Structured sparsity for semiparametric additive models\
Ryan Thompson and Farshid Vahid\
Journal of Computational and Graphical Statistics\
[Publication](https://www.tandfonline.com/doi/full/10.1080/10618600.2024.2330517) - [Preprint](https://arxiv.org/abs/2105.12081) - [Code](https://github.com/ryan-thompson/grpsel)\
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**2023**
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The contextual lasso: Sparse linear models via deep neural networks\
Ryan Thompson, Amir Dezfouli, and Robert Kohn\
Advances in Neural Information Processing Systems\
[Publication](https://proceedings.neurips.cc/paper_files/paper/2023/hash/3f226824426a4d6ae3d3efad8883fc53-Abstract-Conference.html) - [Preprint](https://arxiv.org/abs/2302.00878) - [Code](https://github.com/ryan-thompson/ContextualLasso.jl)\
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**2022**
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Robust subset selection\
Ryan Thompson\
Computational Statistics and Data Analysis\
[Publication](https://www.sciencedirect.com/science/article/abs/pii/S0167947321002498) - [Preprint](https://arxiv.org/abs/2005.08217) - [Code](https://github.com/ryan-thompson/robustsubsets)\
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**2018**
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Optimal selection of expert forecasts with integer programming\
Dmytro Matsypura, Ryan Thompson, and Andrey Vasnev\
Omega\
[Publication](https://www.sciencedirect.com/science/article/abs/pii/S0305048317300130) - [Preprint](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2894083)\
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<!-- Preprints -->
------------------------------------------------------------------------
<center><small>Last updated: `r format(Sys.time(), '%B %d, %Y')`.</small></center>