Simulation of elliptic and hypo-elliptic conditional diffusions
Artikel i vetenskaplig tidskrift, 2020

Suppose X is a multidimensional diffusion process. Assume that at time zero the state of X is fully observed, but at time 0$ ]]> only linear combinations of its components are observed. That is, one only observes the vector for a given matrix L. In this paper we show how samples from the conditioned process can be generated. The main contribution of this paper is to prove that guided proposals, introduced in [35], can be used in a unified way for both uniformly elliptic and hypo-elliptic diffusions, even when L is not the identity matrix. This is illustrated by excellent performance in two challenging cases: a partially observed twice-integrated diffusion with multiple wells and the partially observed FitzHugh-Nagumo model.

partially observed diffusion

Diffusion bridge

guided proposal

Langevin sampler

twice-integrated diffusion

Monte Carlo method

FitzHugh-Nagumo model


Joris Bierkens

Vrije Universiteit Amsterdam

Frank van der Meulen

TU Delft

Moritz Schauer

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Advances in Applied Probability

0001-8678 (ISSN) 1475-6064 (eISSN)

Vol. 52 1 173-212



Sannolikhetsteori och statistik



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