Search Results for author: Simo Sarkka

Found 2 papers, 1 papers with code

Bayesian ODE Solvers: The Maximum A Posteriori Estimate

no code implementations1 Apr 2020 Filip Tronarp, Simo Sarkka, Philipp Hennig

The remaining three classes are termed explicit, semi-implicit, and implicit, which are in similarity with the classical notions corresponding to conditions on the vector field, under which the filter update produces a local maximum a posteriori estimate.

Bayesian Inference

Sequential Inference for Latent Force Models

1 code implementation14 Feb 2012 Jouni Hartikainen, Simo Sarkka

Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components.

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