This article generalises the concept of realised covariation to Hilbert-space-valued stochastic processes. More precisely, based on high-frequency functional data, we construct an estimator of the trace-class operator-valued integrated volatility process arising in general mild solutions of Hilbert space-valued stochastic evolution equations in the sense of Da Prato and Zabczyk (2014). We prove a weak law of large numbers for this estimator, where the convergence is uniform on compacts in probability with respect to the Hilbert–Schmidt norm. In addition, we determine convergence rates for common stochastic volatility models in Hilbert spaces
We give sufficient conditions for existence, uniqueness and ergodicity of invariant measures for Mus...
We prove pathwise (hence strong) uniqueness of solutions to stochastic evolution equations in Hilber...
We study large deviation properties of systems of weakly interacting particles modeled by Ito\u302 s...
This article generalises the concept of realised covariation to Hilbert-space-valued stochastic proc...
To obtain consistency results for nonparametric estimators based on stochastic processes relevant in...
In this paper, we define stochastic volatility operators in Hilbert space which are analogs to the w...
This thesis is focused around weak convergence analysis of approximations of stochastic evolution eq...
Let Xt=[summation operator]k=-[infinity]+[infinity]ak([var epsilon]t-k) be a linear process with val...
We lift ambit fields to a class of Hilbert space-valued volatility modulated Volterra processes. We ...
AbstractLet H be a Hilbert space and (Ω, J, μ) be a probability measure space. Consider the Hilbert ...
AbstractLet Xt=∑k=−∞+∞ak(εt−k) be a linear process with values in a Hilbert space H. The H valued r....
We develop a white noise framework and the theory of stochastic distribution spaces for Hilbert spac...
AbstractThis paper deals with a semilinear stochastic equation in a real Hilbert space and formulate...
2014-07-24We study large deviations (LD) rates in a Gaussian setting and their representation in ter...
The spectral theory for weakly stationary processes valued in a separable Hilbert space has known re...
We give sufficient conditions for existence, uniqueness and ergodicity of invariant measures for Mus...
We prove pathwise (hence strong) uniqueness of solutions to stochastic evolution equations in Hilber...
We study large deviation properties of systems of weakly interacting particles modeled by Ito\u302 s...
This article generalises the concept of realised covariation to Hilbert-space-valued stochastic proc...
To obtain consistency results for nonparametric estimators based on stochastic processes relevant in...
In this paper, we define stochastic volatility operators in Hilbert space which are analogs to the w...
This thesis is focused around weak convergence analysis of approximations of stochastic evolution eq...
Let Xt=[summation operator]k=-[infinity]+[infinity]ak([var epsilon]t-k) be a linear process with val...
We lift ambit fields to a class of Hilbert space-valued volatility modulated Volterra processes. We ...
AbstractLet H be a Hilbert space and (Ω, J, μ) be a probability measure space. Consider the Hilbert ...
AbstractLet Xt=∑k=−∞+∞ak(εt−k) be a linear process with values in a Hilbert space H. The H valued r....
We develop a white noise framework and the theory of stochastic distribution spaces for Hilbert spac...
AbstractThis paper deals with a semilinear stochastic equation in a real Hilbert space and formulate...
2014-07-24We study large deviations (LD) rates in a Gaussian setting and their representation in ter...
The spectral theory for weakly stationary processes valued in a separable Hilbert space has known re...
We give sufficient conditions for existence, uniqueness and ergodicity of invariant measures for Mus...
We prove pathwise (hence strong) uniqueness of solutions to stochastic evolution equations in Hilber...
We study large deviation properties of systems of weakly interacting particles modeled by Ito\u302 s...