This paper addresses the asymptotic analysis of sojourn functionals of spatiotemporal Gaussian random fields with long-range dependence (LRD) in time also known as long memory. Specifically, reduction theorems are derived for local functionals of nonlinear transformation of such fields, with Hermite rank m larger than or equal to 1, under general covariance structures. These results are proven to hold, in particular, for a family of non--separable covariance structures belonging to Gneiting class. For m=2, under separability of the spatiotemporal covariance function in space and time, the properly normalized Minkowski functional, involving the modulus of a Gaussian random field, converges in distribution to the Rosenblatt type limiting dist...
In this paper, we consider isotropic and stationary real Gaussian random fields defined on S-2 x R a...
Forthcoming (2017) in Journal of Theoretical ProbabilityOur interest in this paper is to explore lim...
Limit theorems are proved for quadratic forms of Gaussian random fields in presence of long memory. ...
Limit theorems for the volumes of excursion sets of weakly and strongly dependent heavy-tailed rando...
We study stationary, second order random fields on the lattice Z^d. They are assumed to be strongly ...
This article investigates general scaling settings and limit distributions of functionals of filtere...
This paper addresses the estimation of the second-order structure of a manifold cross-time random fi...
A reduction theorem is proved for functionals of Gamma-correlated random fields with long-range depe...
Click on the DOI link to access the article (may not be free)This paper introduces three spatio–temp...
Gaussian random fields with Mat\'ern covariance functions are popular models in spatial statistics a...
We study the limit law of a vector made up of normalized sums of functions of long-range dependent s...
The thesis is devoted to limit theorems for stochastic models with long-range dependence. We first c...
This thesis is concerned with the study of multidimensional stochastic processes with special depend...
In this paper, we consider isotropic and stationary real Gaussian random fields defined on S2 × R an...
This monograph is a gateway for researchers and graduate students to explore the profound, yet subtl...
In this paper, we consider isotropic and stationary real Gaussian random fields defined on S-2 x R a...
Forthcoming (2017) in Journal of Theoretical ProbabilityOur interest in this paper is to explore lim...
Limit theorems are proved for quadratic forms of Gaussian random fields in presence of long memory. ...
Limit theorems for the volumes of excursion sets of weakly and strongly dependent heavy-tailed rando...
We study stationary, second order random fields on the lattice Z^d. They are assumed to be strongly ...
This article investigates general scaling settings and limit distributions of functionals of filtere...
This paper addresses the estimation of the second-order structure of a manifold cross-time random fi...
A reduction theorem is proved for functionals of Gamma-correlated random fields with long-range depe...
Click on the DOI link to access the article (may not be free)This paper introduces three spatio–temp...
Gaussian random fields with Mat\'ern covariance functions are popular models in spatial statistics a...
We study the limit law of a vector made up of normalized sums of functions of long-range dependent s...
The thesis is devoted to limit theorems for stochastic models with long-range dependence. We first c...
This thesis is concerned with the study of multidimensional stochastic processes with special depend...
In this paper, we consider isotropic and stationary real Gaussian random fields defined on S2 × R an...
This monograph is a gateway for researchers and graduate students to explore the profound, yet subtl...
In this paper, we consider isotropic and stationary real Gaussian random fields defined on S-2 x R a...
Forthcoming (2017) in Journal of Theoretical ProbabilityOur interest in this paper is to explore lim...
Limit theorems are proved for quadratic forms of Gaussian random fields in presence of long memory. ...