994 resultados para Markov Branching Process


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2010 Mathematics Subject Classification: 60J80.

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Thesis (Ph.D.)--University of Washington, 2016-08

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We consider a branching model, which we call the collision branching process (CBP), that accounts for the effect of collisions, or interactions, between particles or individuals. We establish that there is a unique CBP, and derive necessary and sufficient conditions for it to be nonexplosive. We review results on extinction probabilities, and obtain explicit expressions for the probability of explosion and the expected hitting times. The upwardly skip-free case is studied in some detail.

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We derive necessary and sufficient conditions for the existence of bounded or summable solutions to systems of linear equations associated with Markov chains. This substantially extends a famous result of G. E. H. Reuter, which provides a convenient means of checking various uniqueness criteria for birth-death processes. Our result allows chains with much more general transition structures to be accommodated. One application is to give a new proof of an important result of M. F. Chen concerning upwardly skip-free processes. We then use our generalization of Reuter's lemma to prove new results for downwardly skip-free chains, such as the Markov branching process and several of its many generalizations. This permits us to establish uniqueness criteria for several models, including the general birth, death, and catastrophe process, extended branching processes, and asymptotic birth-death processes, the latter being neither upwardly skip-free nor downwardly skip-free.

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The maximum M of a critical Bienaymé-Galton-Watson process conditioned on the total progeny N is studied. Imbedding of the process in a random walk is used. A limit theorem for the distribution of M as N → ∞ is proved. The result is trasferred to the non-critical processes. A corollary for the maximal strata of a random rooted labeled tree is obtained.

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A Superadditive Bisexual Galton-Watson Branching Process is considered and the total number of mating units, females and males, until the n-th generation, are studied. In particular some results about the stochastic monotony, probability generating functions and moments are obtained. Finally, the limit behaviour of those variables suitably normed is investigated.

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2000 Mathematics Subject Classification: 60J80.

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AMS subject classification: 60J80, 60J15.

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2000 Mathematics Subject Classification: Primary 60J80, Secondary 62F12, 60G99.

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2000 Mathematics Subject Classification: 60J80, 62P05.

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2000 Mathematics Subject Classification: 60J80.

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2000 Mathematics Subject Classification: 60J80.

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2000 Mathematics Subject Classification: 60J80, 62F12, 62P10

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2000 Mathematics Subject Classification: 60J80, 60J85

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2000 Mathematics Subject Classification: 60J80, 60F05