activity
20092025
most citedRisk-sensitive Markov control processes

78 citations · 667 across the 41 of their papers we have counts for

collaborators
Showing math.PRShow all

28 papers · 1 filter

math.PR2025

Stability of travelling wave solutions to reaction-diffusion equations driven by additive noise with Hölder continuous paths

Amjad Saef, Wilhelm Stannat

In this paper we investigate stability of travelling wave solutions to a class of reaction-diffusion equations perturbed by infinite-dimensional additive noise with Hölder continuo…

math.PR2022★ 3 cited

Analysis of the Ensemble Kalman--Bucy Filter for correlated observation noise

Sebastian Ertel, Wilhelm Stannat

Ensemble Kalman--Bucy filters (EnKBFs) are an important tool in Data Assimilation that aim to approximate the posterior distribution for continuous time filtering problems using an…

math.PR2021★ 1 cited

Analysis of the feedback particle filter with diffusion map based approximation of the gain

Sahani Pathiraja, Wilhelm Stannat

Control-type particle filters have been receiving increasing attention over the last decade as a means of obtaining sample based approximations to the sequential Bayesian filtering…

math.PR2021★ 9 cited

Peng's Maximum Principle for Stochastic Partial Differential Equations

Wilhelm Stannat, Lukas Wessels

We extend Peng's maximum principle for semilinear stochastic partial differential equations (SPDEs) in one space-dimension with non-convex control domains and control-dependent dif…

math.PR2020★ 19 cited

Analytic theory of Itô-stochastic differential equations with non-smooth coefficients

Haesung Lee, Wilhelm Stannat, Gerald Trutnau

We present a detailed analysis of non-degenerate time-homogeneous Itô-stochastic differential equations with low local regularity assumptions on the coefficients. In particular the…

math.PR2020★ 14 cited

Mean field limit of Ensemble Square Root Filters -- discrete and continuous time

Theresa Lange, Wilhelm Stannat

Consider the class of Ensemble Square Root filtering algorithms for the numerical approximation of the posterior distribution of nonlinear Markovian signals partially observed with…

math.PR2019★ 10 cited

Fluctuation limits for mean-field interacting nonlinear Hawkes processes

Sophie Heesen, Wilhelm Stannat

We investigate the asymptotic behaviour of networks of interacting non-linear Hawkes processes modeling a homogeneous population of neurons in the large population limit. In partic…

math.PR2019★ 10 cited

On the continuous time limit of Ensemble Square Root Filters

Theresa Lange, Wilhelm Stannat

We provide a continuous time limit analysis for the class of Ensemble Square Root Filter algorithms with deterministic model perturbations. In the particular linear case, we specif…

math.PR2019★ 19 cited

On the continuous time limit of the Ensemble Kalman Filter

Theresa Lange, Wilhelm Stannat

We present recent results on the existence of a continuous time limit for Ensemble Kalman Filter algorithms. In the setting of continuous signal and observation processes, we apply…

math.PR2019★ 24 cited

Weak Solutions to Vlasov-McKean Equations under Lyapunov-Type Conditions

Sima Mehri, Wilhelm Stannat

We present a Lyapunov type approach to the problem of existence and uniqueness of general law-dependent stochastic differential equations. In the existing literature most results c…

math.PR2018★ 7 cited

Existence, uniqueness and stability of semi-linear rough partial differential equations

Peter Friz, Torstein Nilssen, Wilhelm Stannat

We prove well-posedness and rough path stability of a class of linear and semi-linear rough PDE's on using the variational approach. This includes well-posedness of…

math.PR2018★ 51 cited

Propagation of Chaos for Stochastic Spatially Structured Neuronal Networks with Delay driven by Jump Diffusions

Sima Mehri, Michael Scheutzow, Wilhelm Stannat +1

Spatially structured neural networks driven by jump diffusion noise with monotone coefficients, fully path dependent delay and with a disorder parameter are considered. Well-posedn…

math.PR2018★ 12 cited

Generalized Burgers equation with rough transport noise

Antoine Hocquet, Torstein Nilssen, Wilhelm Stannat

We introduce a new technique for studying well posedness and energy estimates for evolution equations with a rough transport term. The technique is based on finding suitable space-…

math.PR2017★ 19 cited

A Multiscale-Analysis of Stochastic Bistable Reaction-Diffusion Equations

Jennifer Krüger, Wilhelm Stannat

A multiscale analysis of 1D stochastic bistable reaction-diffusion equations with additive noise is carried out w.r.t. travelling waves within the variational approach to stochasti…

math.PR2016★ 5 cited

Finite-Size Effects on Traveling Wave Solutions to Neural Field Equations

Eva Lang, Wilhelm Stannat

Neural field equations are used to describe the spatiotemporal evolution of the activity in a network of synaptically coupled populations of neurons in the continuum limit. Their h…

math.PR2016★ 2 cited

A Fenchel-Moreau-Rockafellar type theorem on the Kantorovich-Wasserstein space with Applications in Partially Observable Markov Decision Processes

Vaios Laschos, Klaus Obermayer, Yun Shen +1

By using the fact that the space of all probability measures with finite support can be somehow completed in two different fashions, one generating the Arens-Eells space and anothe…

math.PR2016★ 17 cited

-Stability of Traveling Wave Solutions to Nonlocal Evolution Equations

Eva Lang, Wilhelm Stannat

Stability of the traveling wave solution to a general class of one-dimensional nonlocal evolution equations is studied in -spaces, thereby providing an alternative approach to…

math.PR2015★ 20 cited

Transition from Gaussian to non-Gaussian fluctuations for mean-field diffusions in spatial interaction

Eric Luçon, Wilhelm Stannat

We consider a system of disordered mean-field interacting diffusions within spatial constraints: each particle is attached to one site of a periodic lattice and the…

math.PR2014★ 31 cited

Stochastic partial differential equations: a rough path view

Joscha Diehl, Peter K. Friz, Wilhelm Stannat

We discuss regular and weak solutions to rough partial differential equations (RPDEs), thereby providing a (rough path-)wise view on important classes of SPDEs. In contrast to many…

math.PR2014★ 35 cited

Front Propagation in Stochastic Neural Fields: A Rigorous Mathematical Framework

Jennifer Krüger, Wilhelm Stannat

We develop a complete and rigorous mathematical framework for the analysis of stochastic neural field equations under the influence of spatially extended additive noise. By compari…

math.PR2014★ 11 cited

Stability of travelling waves in stochastic bistable reaction-diffusion equations

Wilhelm Stannat

We extend the result on the stability of travelling waves for stochastic Nagumo equations in [St] to general bistable reaction-diffusion equations with both additive and multiplica…

math.PR2014★ 11 cited

Analysis and Approximation of Stochastic Nerve Axon Equations

Martin Sauer, Wilhelm Stannat

We consider spatially extended conductance based neuronal models with noise described by a stochastic reaction diffusion equation with additive noise coupled to a control variable…

math.PR2013

Stability of the optimal filter in a hidden Markov model with multiplicative noise

Birgit Debrabant, Wilhelm Stannat

We consider a hidden Markov model with multiplicative noise emerging from studies of software reliability. We show the stability of the optimal filter with respect to general initi…

math.PR2013★ 54 cited

Mean field limit for disordered diffusions with singular interactions

Eric Luçon, Wilhelm Stannat

Motivated by considerations from neuroscience (macroscopic behavior of large ensembles of interacting neurons), we consider a population of mean field interacting diffusions in $\m…