Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
Crossref DOI link: https://doi.org/10.1007/s11222-019-09900-1
Published Online: 2019-09-18
Published Print: 2019-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Tronarp, Filip
Kersting, Hans
Särkkä, Simo
Hennig, Philipp
Funding for this research was provided by:
Aalto University
Text and Data Mining valid from 2019-09-18
Version of Record valid from 2019-09-18
Article History
First Online: 18 September 2019