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Bayesian ODE Solvers: The Maximum A Posteriori Estimate

Bayesian ODE Solvers: The Maximum A Posteriori Estimate

1 April 2020
Filip Tronarp
Simo Sarkka
Philipp Hennig
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Papers citing "Bayesian ODE Solvers: The Maximum A Posteriori Estimate"

4 / 4 papers shown
Title
Modelling pathwise uncertainty of Stochastic Differential Equations
  samplers via Probabilistic Numerics
Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics
Yvann Le Fay
Simo Särkkä
Adrien Corenflos
22
0
0
23 Nov 2023
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary
  Differential Equations
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
Mohan Wu
Martin Lysy
31
4
0
08 Jun 2023
Modelling the discretization error of initial value problems using the
  Wishart distribution
Modelling the discretization error of initial value problems using the Wishart distribution
Naoki Marumo
Takeru Matsuda
Yuto Miyatake
11
1
0
07 Jun 2023
Generalized Kalman Smoothing: Modeling and Algorithms
Generalized Kalman Smoothing: Modeling and Algorithms
Aleksandr Aravkin
J. Burke
L. Ljung
A. Lozano
G. Pillonetto
69
112
0
20 Sep 2016
1