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math.PR2021
Statistical analysis of discretely sampled semilinear SPDEs: a power variation approach
Igor Cialenco, Hyun-Jung Kim, Gregor Pasemann
Motivated by problems from statistical analysis for discretely sampled SPDEs, first we derive central limit theorems for higher order finite differences applied to stochastic proce…
math.PR2019★ 1 cited
Drift Estimation for Discretely Sampled SPDEs
Igor Cialenco, Francisco Delgado-Vences, Hyun-Jung Kim
The aim of this paper is to study the asymptotic properties of the maximum likelihood estimator (MLE) of the drift coefficient for fractional stochastic heat equation driven by an…