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Identifiability of Compound Poisson Distributions [PDF]

open access: yesScandinavian Actuarial Journal, 1983
Compound Poisson distributions (CPD's) are frequently used as alternatives in studying situations where a simple Poisson model is found inadequate to describe.
Panaretos, John, Xekalaki, Evdokia
core   +3 more sources

Mixed Compound Poisson Distributions [PDF]

open access: yesASTIN Bulletin, 1986
AbstractThe distribution of total claims payable by an insurer is considered when the frequency of claims is a mixed Poisson random variable. It is shown how in many cases the total claims density can be evaluated numerically using simple recursive formulae (discrete or continuous).Mixed Poisson distributions often have desirable properties for ...
G. Willmot
openaire   +2 more sources

Measure Concentration for Compound Poisson Distributions [PDF]

open access: yesElectronic Communications in Probability, 2006
We give a simple development of the concentration properties of compound Poisson measures on the nonnegative integers. A new modification of the Herbst argument is applied to an appropriate modified logarithmic-Sobolev inequality to derive new concentration bounds.
Kontoyiannis, Ioannis, Madiman, Mokshay
openaire   +4 more sources

Multidimensional compound Poisson distributions in free probability [PDF]

open access: yesScience China Mathematics, 2018
This is the final version of the paper, which will be appear in Sci. China Math.
An, Guimei, Gao, Mingchu
openaire   +3 more sources

Multivariate Compound Poisson Distributions and Infinite Divisibility [PDF]

open access: yesASTIN Bulletin, 2000
AbstractIn this note we give a multivariate extension of the proof of Ospina & Gerber (1987) of the result of Feller (1968) that a univariate distribution on the non-negative integers is infinitely divisible if and only if it can be expressed as a compound Poisson distribution.
B. Sundt
openaire   +2 more sources

Inequalities for Multivariate Compound Poisson Distributions

open access: yesThe Annals of Probability, 1988
Let \(\{Q_ t\); \(t\geq 0\}\) be a one-parameter Poisson family. Let \({\mathcal A}=\{A:\) \(A\subseteq \{1,2,...,n\}\}\), n positive integer, and t(A) be a number associated with \(A\in {\mathcal A}\). Let \(\{Z_ A:\) \(A\in {\mathcal A}\}\) be independent random variables with \(Z_ A\) distributed according to \(Q_{t(A)}\). Define \(x=(x_ 1,...,x_ n)\
R. Ellis
openaire   +3 more sources

Compound poisson distributions and KNO scaling

open access: yesNuclear Physics B, 1973
Abstract We propose to represent the multiplicity distribution by a compound Poisson distribution suggested by unitary or absorptive multiperipheral models. In this framework, we discuss the scaling law proposed recently by Koba, Nielsen and Olesen, and in particular the behaviour of non-asymptotic terms.
M. Le Bellac, J.L. Meunier, G. Plaut
openaire   +2 more sources

Optimal control of compound Poisson processes [PDF]

open access: yesITM Web of Conferences, 2022
The problem of controlling a compound Poisson process until it leaves an interval is considered. This type of problem is known as a homing problem. To determine the value of the optimal control, we must solve a nonlinear integro-differential equation ...
Lefebvre Mario
doaj   +1 more source

Comparing Compound Poisson Distributions by Deficiency: Continuous-Time Case

open access: yesMathematics, 2022
In the paper, we apply a new approach to the comparison of the distributions of sums of random variables to the case of Poisson random sums. This approach was proposed in our previous work (Bening, Korolev, 2022) and is based on the concept of ...
Vladimir Bening, Victor Korolev
doaj   +1 more source

On Some Stationary INAR(1) Processes with Compound Poisson Distributions

open access: yesRevstat Statistical Journal, 2023
Aly and Bouzar ([2]) used the backward approach in presence of the binomial thinning operator to construct underdispersed stationary first-order autoregressive integer valued (INAR (1)) processes.
Emad-Eldin A. A. Aly, Nadjib Bouzar
doaj   +1 more source

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