activity
20052023
most citedAsymptotic equivalence for inference on the volatility from noisy observations

91 citations · 585 across the 27 of their papers we have counts for

collaborators

40 papers

math.ST2023★ 1 cited

Change point estimation for a stochastic heat equation

Markus Reiß, Claudia Strauch, Lukas Trottner

We study a change point model based on a stochastic partial differential equation (SPDE) corresponding to the heat equation governed by the weighted Laplacian $Δ_\vartheta = \nabla…

math.ST2023

Parameter estimation for the stochastic heat equation with multiplicative noise from local measurements

Josef Janák, Markus Reiß

For the stochastic heat equation with multiplicative noise we consider the problem of estimating the diffusivity parameter in front of the Laplace operator. Based on local observat…

math.ST2022★ 1 cited

Estimation for the reaction term in semi-linear SPDEs under small diffusivity

Sascha Gaudlitz, Markus Reiß

We consider the estimation of a non-linear reaction term in the stochastic heat or more generally in a semi-linear stochastic partial differential equation (SPDE). Consistent infer…

math.ST2021★ 1 cited

Inference on the maximal rank of time-varying covariance matrices using high-frequency data

Markus Reiß, Lars Winkelmann

We study the rank of the instantaneous or spot covariance matrix of a multidimensional continuous semi-martingale . Given high-frequency observations , $i=0,…

math.ST2020★ 4 cited

Parameter Estimation in an SPDE Model for Cell Repolarisation

Randolf Altmeyer, Till Bretschneider, Josef Janák +1

As a concrete setting where stochastic partial differential equations (SPDEs) are able to model real phenomena, we propose a stochastic Meinhardt model for cell repolarisation and…

math.ST2019★ 28 cited

Nonparametric estimation for linear SPDEs from local measurements

Randolf Altmeyer, Markus Reiß

The coefficient function of the leading differential operator is estimated from observations of a linear stochastic partial differential equation (SPDE). The estimation is based on…