summary:Random measures derived from a stationary process of compact subsets of the Euclidean space are introduced and the corresponding central limit theorem is formulated. The result does not require the Poisson assumption on the process. Approximate confidence intervals for the intensity of the corresponding random measure are constructed in the case of fibre processes
A central limit theorem is proved for α-mixing random fields. The sets of locations where the random...
In this paper, we consider a random quadratic form of strictly stationary processes. A central limit...
In this paper we started by explaining what a Markov chain is. After this we defined some key concep...
summary:Random measures derived from a stationary process of compact subsets of the Euclidean space ...
summary:Random measures derived from a stationary process of compact subsets of the Euclidean space ...
A functional central limit theorem for a strictly stationary associated random field in the general ...
AbstractThis paper establishes a central limit theorem and an invariance principle for a wide class ...
Abstract. Let B be a separable Banach space. Suppose that (F, Fi, i 1) is a sequence of independent...
22 pagesThis paper establishes a central limit theorem and an invariance principle for a wide class ...
22 pagesThis paper establishes a central limit theorem and an invariance principle for a wide class ...
We define the local empirical process, based on n i.i.d. random vectors in dimension d, in the neigh...
A random functional central limit theorem is obtained for a stationary linear process of the form , ...
The aim of this thesis is to produce computational experiments related to a Central Limit Theorem (C...
AbstractThe desymmetrization technique which was successfully used in C(S) spaces is carried over to...
Key words and phrases. Discrete random measure, moment problem, point process, random measure. Let X...
A central limit theorem is proved for α-mixing random fields. The sets of locations where the random...
In this paper, we consider a random quadratic form of strictly stationary processes. A central limit...
In this paper we started by explaining what a Markov chain is. After this we defined some key concep...
summary:Random measures derived from a stationary process of compact subsets of the Euclidean space ...
summary:Random measures derived from a stationary process of compact subsets of the Euclidean space ...
A functional central limit theorem for a strictly stationary associated random field in the general ...
AbstractThis paper establishes a central limit theorem and an invariance principle for a wide class ...
Abstract. Let B be a separable Banach space. Suppose that (F, Fi, i 1) is a sequence of independent...
22 pagesThis paper establishes a central limit theorem and an invariance principle for a wide class ...
22 pagesThis paper establishes a central limit theorem and an invariance principle for a wide class ...
We define the local empirical process, based on n i.i.d. random vectors in dimension d, in the neigh...
A random functional central limit theorem is obtained for a stationary linear process of the form , ...
The aim of this thesis is to produce computational experiments related to a Central Limit Theorem (C...
AbstractThe desymmetrization technique which was successfully used in C(S) spaces is carried over to...
Key words and phrases. Discrete random measure, moment problem, point process, random measure. Let X...
A central limit theorem is proved for α-mixing random fields. The sets of locations where the random...
In this paper, we consider a random quadratic form of strictly stationary processes. A central limit...
In this paper we started by explaining what a Markov chain is. After this we defined some key concep...
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