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20092025
most citedRisk-sensitive Markov control processes

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

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Showing 2014Show all

5 papers · 1 filter

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.OC2014★ 1 cited

On Average Risk-sensitive Markov Control Processes

Yun Shen, Klaus Obermayer, Wilhelm Stannat

We introduce the Lyapunov approach to optimal control problems of average risk-sensitive Markov control processes with general risk maps. Motivated by applications in particular to…

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…