On the distances between signals in the non-homogeneous Poisson stochastic process
Jerzy Mycielski (1956)
Studia Mathematica
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Displaying similar documents to “Limit theorems for number of diffusion processes, which did not absorb by boundaries”
On the distances between signals in the non-homogeneous Poisson stochastic process
On the extremal behavior of sub-sampled solutions of stochastic difference equations.
Scotto, M.G., Turkman, K.F. (2002)
Portugaliae Mathematica. Nova Série
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The distribution of the interval between events of a Cox process with shot noise intensity.
Dassios, Angelos, Jang, Jiwook (2008)
Journal of Applied Mathematics and Stochastic Analysis
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Some theoretical results about the distribution of a doubly stochastic Poisson process.
Francisco Jiménez Gómez, Mariano J. Valderrama Bonnet (1992)
Extracta Mathematicae
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The Barnes G function and its relations with sums and products of generalized gamma convolution variables.
Nikeghbali, Ashkan, Yor, Marc (2009)
Electronic Communications in Probability [electronic only]
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On stationary distributions for the KPP equation with branching noise
Paul Horridge, Roger Tribe (2004)
Annales de l'I.H.P. Probabilités et statistiques
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A strong invariance principle for negatively associated random fields
Guang-hui Cai (2011)
Czechoslovak Mathematical Journal
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In this paper we obtain a strong invariance principle for negatively associated random fields, under the assumptions that the field has a finite th moment and the covariance coefficient exponentially decreases to . The main tools are the Berkes-Morrow multi-parameter blocking technique and the Csörgő-Révész quantile transform method.
A zero-inflated occupancy distribution: Exact results and Poisson convergence.
Kolev, Nikolai, Mutafchiev, Ljuben (2003)
International Journal of Mathematics and Mathematical Sciences
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Multiple space-time scale analysis for interacting branching models.
Dawson, Donald A., Greven, Andreas (1996)
Electronic Journal of Probability [electronic only]
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