Asymptotic approximations of threshold exceedance probabilities for random fields have been established, under suitable conditions, in terms of connectivity properties defined by the expectation of Euler characteristic. In this paper, some extensions and related results concerning the order of approximation are investigated for the class of harmonizable random fields. In particular, the study is focused on transformations of stationary random fields by spatial deformations subject to appropriate regularity and boundedness assumptions. Other well-known significant cases of practical interest within this class are also addressed. Finally, several aspects of continuing research in this context are discussed
Advances in data collection and computation tools popularize localized modeling on temporal or spati...
The class of harmonizable fields is a natural extension of the class of sta-tionary fields. This pap...
AbstractThis paper establishes a central limit theorem and an invariance principle for a wide class ...
Abstract: Studying the geometry generated by Gaussian and Gaussian-related random fields via their e...
We consider smooth, infinitely divisible random fields with regularly varying Levy measure, and ar...
Studying the geometry generated by Gaussian and Gaussian-related random fields via their excursion s...
When a random field (Xt; t 2 R2) is thresholded on a given level u, the excursion set is given by it...
A monograph that is devoted to a fresh approach to geometric problems arising in the study of random...
In this thesis we consider two outstanding problems in the statistical analysis of random field data...
Max-stable random fields are very appropriate for the statistical modelling of spatial extremes. Hen...
Abstract This is a brief review, in relatively non-technical terms, of recent rather technical advan...
International audienceThe full moments expansion of the joint probability distribution of an isotrop...
The statistical analysis of brain functional and structural change presents a formidable statistical...
A timely and comprehensive treatment of random field theory with applications across diverse areas o...
Advances in data collection and computation tools popularize localized modeling on temporal or spati...
Advances in data collection and computation tools popularize localized modeling on temporal or spati...
The class of harmonizable fields is a natural extension of the class of sta-tionary fields. This pap...
AbstractThis paper establishes a central limit theorem and an invariance principle for a wide class ...
Abstract: Studying the geometry generated by Gaussian and Gaussian-related random fields via their e...
We consider smooth, infinitely divisible random fields with regularly varying Levy measure, and ar...
Studying the geometry generated by Gaussian and Gaussian-related random fields via their excursion s...
When a random field (Xt; t 2 R2) is thresholded on a given level u, the excursion set is given by it...
A monograph that is devoted to a fresh approach to geometric problems arising in the study of random...
In this thesis we consider two outstanding problems in the statistical analysis of random field data...
Max-stable random fields are very appropriate for the statistical modelling of spatial extremes. Hen...
Abstract This is a brief review, in relatively non-technical terms, of recent rather technical advan...
International audienceThe full moments expansion of the joint probability distribution of an isotrop...
The statistical analysis of brain functional and structural change presents a formidable statistical...
A timely and comprehensive treatment of random field theory with applications across diverse areas o...
Advances in data collection and computation tools popularize localized modeling on temporal or spati...
Advances in data collection and computation tools popularize localized modeling on temporal or spati...
The class of harmonizable fields is a natural extension of the class of sta-tionary fields. This pap...
AbstractThis paper establishes a central limit theorem and an invariance principle for a wide class ...