Drift Estimation for Stochastic Reaction-Diffusion Systems

04/09/2019
by   Gregor Pasemann, et al.
0

A parameter estimation problem for a class of semilinear stochastic evolution equations is considered. Conditions for consistency and asymptotic normality are given in terms of growth and continuity properties of the nonlinear part. Emphasis is put on the case of stochastic reaction-diffusion systems. Robustness results for statistical inference under model uncertainty are provided.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/13/2023

Stochastic Reaction-Diffusion Systems in Biophysics: Towards a Toolbox for Quantitative Model Evaluation

We develop a statistical toolbox for a quantitative model evaluation of ...
research
05/15/2020

Diffusivity Estimation for Activator-Inhibitor Models: Theory and Application to Intracellular Dynamics of the Actin Cytoskeleton

A theory for diffusivity estimation for spatially extended activator-inh...
research
04/30/2020

Parameter estimation for semilinear SPDEs from local measurements

This work contributes to the limited literature on estimating the diffus...
research
01/31/2023

Model reduction for stochastic systems with nonlinear drift

In this paper, we study dimension reduction techniques for large-scale c...
research
01/08/2016

Cox process representation and inference for stochastic reaction-diffusion processes

Complex behaviour in many systems arises from the stochastic interaction...
research
07/17/2015

Classification of Complex Wishart Matrices with a Diffusion-Reaction System guided by Stochastic Distances

We propose a new method for PolSAR (Polarimetric Synthetic Aperture Rada...
research
02/13/2020

M-estimation in a diffusion model with application to biosensor transdermal blood alcohol monitoring

With the goal of well-founded statistical inference on an individual's b...

Please sign up or login with your details

Forgot password? Click here to reset