Abstract:
The aim of this work is to estimate the drift coefficient of a fractional
heat equation driven by an additive space-time noise using the maximum
likelihood estimator (MLE). In the first part of the paper, the first $N$
Fourier modes of the solution are observed continuously over a finite time
interval $[0, T ]$. The explicit upper bounds for the Wasserstein distance
for the central limit theorem (CLT) of the MLE are provided as $N \to \infty$
and/or $T \to \infty$. In the second part of the paper, the $N$ Fourier modes
are observed at uniform time grid, $t_i = i (T/M)$, $i=0,\dots,M,$ where $M$
is the number of time grid points. The consistency and asymptotic normality
are studied as $T,M,N \to +\infty$ in addition to the rate of convergence in
law in the CLT.
Keywords:fractional stochastic partial differential equations, parameter estimation, rate of normal convergence of the MLE, Malliavin calculus, Wasserstein distance.