PUBLICATIONS

Simon Fontaine, Lingzhou Xue, Bing Li (2025). Bayesian Fréchet Regression. In Preparation.

Project

Simon Fontaine, Jian Kang, Ji Zhu (2025). Missing Value Imputation in Relational Data using Variational Inference. Under revision at JCGS.

Code Project

Mukai Wang, Simon Fontaine, Hui Jiang, Gen Li (2024). ADAPT: Analysis of Microbiome Differential Abundance by Pooling Tobit Models. Bioinformatics.

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Simon Fontaine, Jane E. Huggins, Ji Zhu, Jian Kang (2024). Dynamic Latent Factor Regression for EEG-Based Brain-Computer Interfaces. Under revision at JASA.

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Simon Fontaine (2024). Statistical Models for Dependent Data. PhD thesis, University of Michigan.

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Simon Fontaine, Nisha J. D'Silva, Marcell Costa De Medeiros, Grace Y. Chen, Ji Zhu, Gen Li (2024). Locally sparse varying coefficient mixed model with application to longitudinal microbiome differential abundance. Under review at Biometrics.

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Joel H. Rubenstein, Simon Fontaine, Peter W. MacDonald, Jennifer A. Burns, Richard R. Evans, Maria E. Arasim, Joy W. Chang, Elizabeth M. Firsht, Sarah T. Hawley, Sameer D. Saini, Lauren P. Wallner, Ji Zhu, Akbar K. Waljee (2023). Predicting Incident Adenocarcinoma of the Esophagus or Gastric Cardia Using Machine Learning of Electronic Health Records. Gastroenterology.

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Simon Fontaine, Mylène Bédard (2022). An adaptive multiple try Metropolis algorithm. Bernoulli.

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Simon Fontaine (2020). U.S. Mortality 2007-2018: Identifying Trends and Patterns in Mortality Trajectories.

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Simon Fontaine, Trong Dat Do (2020). MovieLens Datasets—Predicting and Analyzing User Ratings of Movies.

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Simon Fontaine (2020). Latent Variable Modeling of Paired Comparisons with Application to NCAA Men’s Basketball Score.

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Simon Fontaine, Moritz Korte-Stapff, Brian Manzo (2020). Caught Looking: Analyzing Variation in Umpire Strike Zones.

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Simon Fontaine, Yi Yang, Wei Qian, Bowen Gu, Bo Fan (2020). A Unified Approach to Sparse Tweedie Modeling of Multisource Insurance Claim Data. Technometrics.

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Simon Fontaine, Jinming Li, Yang Li (2020). A proximal alternating direction method for regularized multi-task regression.

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Simon Fontaine (2019). MCMC adaptatifs à essais multiples. Master’s thesis, University of Montreal.

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