Papamarkou
Papamarkou
Home
Events
Publications
Contact
Light
Dark
Automatic
Publications
Type
Conference paper
Journal article
Date
2021
2020
2018
2016
2014
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
.
PDF
Cite
Devanshu Agrawal
,
Theodore Papamarkou
,
Jacob Hinkle
(2020).
Wide neural networks with bottlenecks are deep Gaussian processes
. In
Journal of Machine Learning Research
.
PDF
Cite
Code
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
.
PDF
Cite
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
Cite
×