Publications

Mathieu Besançon, Theodore Papamarkou, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, John Pearson (2021). Distributions.jl: definition and modeling of probability distributions in the JuliaStats ecosystem. In Journal of Statistical Software.

Devanshu Agrawal, Theodore Papamarkou, Jacob Hinkle (2020). Wide neural networks with bottlenecks are deep Gaussian processes. In Journal of Machine Learning Research.

Alan Lazarus, Dirk Husmeier, Theodore Papamarkou (2018). Multiphase MCMC sampling for parameter inference in nonlinear ordinary differential equations. In Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics.

Chris J. Oates, Theodore Papamarkou, Mark Girolami (2016). The controlled thermodynamic integral for Bayesian model evidence evaluation. In Journal of the American Statistical Association.

Cite Source Document

Dewi Harjanto, Theodore Papamarkou, Chris J. Oates, Violeta Rayon-Estrada, F. Nina Papavasiliou, Anastasia Papavasiliou (2016). RNA editing generates cellular subsets with diverse sequence within populations. In Nature Communications.

Cite Source Document

Theodore Papamarkou, Antonietta Mira, Mark Girolami (2014). Zero variance differential geometric Markov chain Monte Carlo algorithms. In Bayesian Analysis.

Cite Source Document