Sampling conditioned hypoelliptic diffusions
@article{Hairer2009SamplingCH, title={Sampling conditioned hypoelliptic diffusions}, author={Martin Hairer and Andrew M. Stuart and Jochen Voss}, journal={Annals of Applied Probability}, year={2009}, volume={21}, pages={669-698} }
A series of recent articles introduced a method to construct stochastic partial differential equations (SPDEs) which are invariant with respect to the distribution of a given conditioned diffusion. These works are restricted to the case of elliptic diffusions where the drift has a gradient structure and the resulting SPDE is of second-order parabolic type.
The present article extends this methodology to allow the construction of SPDEs which are invariant with respect to the distribution of a…
18 Citations
Simulation of elliptic and hypo-elliptic conditional diffusions
- MathematicsAdvances in Applied Probability
- 2020
Abstract Suppose X is a multidimensional diffusion process. Assume that at time zero the state of X is fully observed, but at time
$T>0$
only linear combinations of its components are observed.…
A second-order discretization for degenerate systems of stochastic differential equations
- Mathematics
- 2020
The paper proposes a new second-order weak approximation scheme for hypoelliptic diffusions or degenerate systems of stochastic differential equations satisfying a certain Hörmander condition. The…
Simulation of forward-reverse stochastic representations for conditional diffusions
- Mathematics
- 2014
In this paper we derive stochastic representations for the finite dimensional distributions of a multidimensional diffusion on a fixed time interval, conditioned on the terminal state. The…
Simulation of conditional diffusions via forward-reverse stochastic representations
- Mathematics
- 2013
In this paper we derive stochastic representations for the finite dimensional distributions of a multidimensional diffusion on a fixed time interval, conditioned on the terminal state. The…
Rough stochastic PDEs
- MathematicsCommunications on Pure and Applied Mathematics
- 2011
In this article, we show how the theory of rough paths can be used to provide a notion of solution to a class of nonlinear stochastic PDEs of Burgers type that exhibit too‐high spatial roughness for…
Singular perturbations to semilinear stochastic heat equations April 1 , 2010
- Mathematics
- 2010
We consider a class of singular perturbations to the stochastic heat equation or semilinear variations thereof. The interesting feature of these perturbations is that, as the small parameter ε tends…
Singular perturbations to semilinear stochastic heat equations
- MathematicsProbability Theory and Related Fields
- 2010
We consider a class of singular perturbations to the stochastic heat equation or semilinear variations thereof. The interesting feature of these perturbations is that, as the small parameter ε tends…
Nonparametric estimation of diffusions: a differential equations approach
- Mathematics
- 2012
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It has been recently shown that nonparametric maximum likelihood estimation is ill-posed in this…
Signal processing problems on function space: Bayesian formulation, stochastic PDEs and effective MCMC methods
- Mathematics, Computer Science
- 2011
In this chapter we overview a Bayesian approach to a wide range of signal processing problems in which the goal is to find the signal, which is a solution of an ordinary or stochastic differential…
Optimal friction matrix for underdamped Langevin sampling
- Computer Science
- 2021
The algorithm is applied to the estimation of posterior means in Bayesian inference problems and reduced variance is demonstrated when compared to the original underdamped and overdamped Langevin dynamics in both full and stochastic gradient cases.
References
SHOWING 1-10 OF 29 REFERENCES
An Introduction to Stochastic PDEs
- Mathematics
- 2009
These notes are based on a series of lectures given first at the University of Warwick in spring 2008 and then at the Courant Institute in spring 2009. It is an attempt to give a reasonably…
Invariant measures of stochastic partial differential equations and conditioned diffusions
- Mathematics
- 2005
ANALYSIS OF SPDES ARISING IN PATH SAMPLING PART II: THE NONLINEAR CASE
- Mathematics
- 2007
In many applications, it is important to be able to sample paths of SDEs conditional on observations of various kinds. This paper studies SPDEs which solve such sampling problems. The SPDE may be…
Singular perturbations to semilinear stochastic heat equations
- MathematicsProbability Theory and Related Fields
- 2010
We consider a class of singular perturbations to the stochastic heat equation or semilinear variations thereof. The interesting feature of these perturbations is that, as the small parameter ε tends…
Spinodal Decomposition¶for the Cahn–Hilliard–Cook Equation
- Mathematics
- 2001
Abstract: This paper gives theoretical results on spinodal decomposition for the stochastic Cahn–Hilliard–Cook equation, which is a Cahn–Hilliard equation perturbed by additive stochastic noise. We…
Sampling conditioned diffusions
- Mathematics, Computer Science
- 2009
This work presents a recently developed, SPDE-based method, an infinite-dimensional generalization of the Langevin sampling technique, to sample conditioned diffusions on a computer.
Stochastic Equations in Infinite Dimensions
- Mathematics
- 2008
Preface Introduction Part I. Foundations: 1. Random variables 2. Probability measures 3. Stochastic processes 4. Stochastic integral Part II. Existence and Uniqueness: 5. Linear equations with…
Analysis of SPDEs arising in path sampling. Part I: The Gaussian case
- Mathematics
- 2005
In many applications it is important to be able to sample paths of SDEs conditional on observations of various kinds. This paper studies SPDEs which solve such sampling problems. The SPDE may be…
Noisy Kuramoto-Sivashinsky equation for an erosion model.
- Mathematics, PhysicsPhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
- 1996
The continuum equation for a discrete model for ion sputtering is derived by taking the continuum limit and arriving at the Kuramoto-Sivashinsky equation with a stochastic noise term.