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Comments on "Bayesian Solution Uncertainty Quantification for
  Differential Equations" by Chkrebtii, Campbell, Calderhead & Girolami

Comments on "Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead & Girolami

21 October 2016
François‐Xavier Briol
Jon Cockayne
Onur Teymur
ArXivPDFHTML

Papers citing "Comments on "Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead & Girolami"

4 / 4 papers shown
Title
A probabilistic model for the numerical solution of initial value
  problems
A probabilistic model for the numerical solution of initial value problems
Michael Schober
Simo Särkkä
Philipp Hennig
59
81
0
17 Oct 2016
Probabilistic Numerical Methods for Partial Differential Equations and
  Bayesian Inverse Problems
Probabilistic Numerical Methods for Partial Differential Equations and Bayesian Inverse Problems
Jon Cockayne
Chris J. Oates
T. Sullivan
Mark Girolami
61
45
0
25 May 2016
Active Uncertainty Calibration in Bayesian ODE Solvers
Active Uncertainty Calibration in Bayesian ODE Solvers
Hans Kersting
Philipp Hennig
34
47
0
11 May 2016
Probabilistic ODE Solvers with Runge-Kutta Means
Probabilistic ODE Solvers with Runge-Kutta Means
Michael Schober
David Duvenaud
Philipp Hennig
66
116
0
10 Jun 2014
1