The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform
Anthony G. Pakes - One of the best experts on this subject based on the ideXlab platform.
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asymptotic properties of the markov Branching Process with immigration
Journal of Theoretical Probability, 2012Co-Authors: Anyue Chen, Anthony G. PakesAbstract:We consider the Markov Branching Process with immigration allowing the possibility of infinite numbers of offspring and/or immigrants. Our focus is on the construction and uniqueness of the minimal transition function and on its asymptotic behavior. Conditional limit theorems for the population size are given in cases for which the transition function is dishonest.
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Limit theorems for the numbers of rare mutants: a Branching Process model
Advances in Applied Probability, 1992Co-Authors: Anthony G. PakesAbstract:We generalize a two-type mutation Process in which particles reproduce by binary fission, inheriting the parental type, but which can mutate with small probability during their lifetimes to the opposite type. The generalization allows an arbitrary offspring distribution. The Branching Process structure of this scheme is exploited to obtain a variety of limit theorems, some of which extend known results for the binary case. In particular, practically usable asymptotic normality results are obtained when the initial population size is large.
Anyue Chen - One of the best experts on this subject based on the ideXlab platform.
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A new approach in analyzing extinction probability of Markov Branching Process with immigration and migration
Frontiers of Mathematics in China, 2015Co-Authors: Anyue ChenAbstract:We use a new approach to consider the extinction properties of the Markov Branching Process with immigration and migration recently discussed by Li and Liu [Sci. China Math., 2011, 54: 1043–1062]. Some much better explicit expressions are obtained for the extinction probabilities of the subtle super-interacting case.
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asymptotic properties of the markov Branching Process with immigration
Journal of Theoretical Probability, 2012Co-Authors: Anyue Chen, Anthony G. PakesAbstract:We consider the Markov Branching Process with immigration allowing the possibility of infinite numbers of offspring and/or immigrants. Our focus is on the construction and uniqueness of the minimal transition function and on its asymptotic behavior. Conditional limit theorems for the population size are given in cases for which the transition function is dishonest.
Servet Martinez - One of the best experts on this subject based on the ideXlab platform.
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Revisiting John Lamperti's maximal Branching Process
2019Co-Authors: Thierry Huillet, Servet MartinezAbstract:Lamperti's maximal Branching Process is revisited, with emphasis on the description of the shape of the invariant measures in both the recurrent and transient regimes. A truncated version of this chain is exhibited, preserving the monotonicity of the original Lamperti chain supported by the integers. The Brown theory of hitting times applies to the latter chain with finite state-space, including sharp strong time to stationarity. Additional information on these hitting time problems are drawn from the quasi-stationary point of view.
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on prolific individuals in a supercritical continuous state Branching Process
Journal of Applied Probability, 2008Co-Authors: Jean Bertoin, Joaquin Fontbona, Servet MartinezAbstract:We describe the genealogy of individuals with infinite descent in a supercritical continuous-state Branching Process.
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On prolific individuals in a supercritical continuous state Branching Process
2007Co-Authors: Jean Bertoin, Joaquin Fontbona, Servet MartinezAbstract:The purpose of this note is to point at an analog for continuous state Branching Process of the description of prolific individuals in a super-critical Galton-Watson Process.
Arnab Sen - One of the best experts on this subject based on the ideXlab platform.
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Branching Process Approach for 2-Sat Thresholds
Journal of Applied Probability, 2010Co-Authors: Elchanan Mossel, Arnab SenAbstract:It is well known that, as n tends to ∞, the probability of satisfiability for a random 2-SAT formula on n variables, where each clause occurs independently with probability α / 2n, exhibits a sharp threshold at α = 1. We study a more general 2-SAT model in which each clause occurs independently but with probability α i / 2n, where i ∈ {0, 1, 2} is the number of positive literals in that clause. We generalize the Branching Process arguments used by Verhoeven (1999) to determine the satisfiability threshold for this model in terms of the maximum eigenvalue of the Branching matrix.
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Branching Process approach for 2-SAT thresholds
arXiv: Probability, 2008Co-Authors: Elchanan Mossel, Arnab SenAbstract:It is well known that, as $n$ tends to infinity, the probability of satisfiability for a random 2-SAT formula on $n$ variables, where each clause occurs independently with probability $\alpha/2n$, exhibits a sharp threshold at $\alpha=1$. We study a more general 2-SAT model in which each clause occurs independently but with probability $\alpha_i/2n$ where $i \in \{0,1,2\}$ is the number of positive literals in that clause. We generalize Branching Process arguments by Verhoeven(99) to determine the satisfiability threshold for this model in terms of the maximum eigenvalue of the Branching matrix.
Carmen Minuesa - One of the best experts on this subject based on the ideXlab platform.
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a predator prey two sex Branching Process
Mathematics, 2020Co-Authors: Cristina Gutierrez, Carmen MinuesaAbstract:In this paper, we present the first stochastic Process to describe the interaction of predator and prey populations with sexual reproduction. Specifically, we introduce a two-type two-sex controlled Branching model. This Process is a two-type Branching Process, where the first type corresponds to the predator population and the second one to the prey population. While each population is described via a two-sex Branching model, the interaction and survival of both groups is modelled through control functions depending on the current number of individuals of each type in the ecosystem. In view of their potential for the conservation of species, we provide necessary and sufficient conditions for the ultimate extinction of both species, the fixation of one of them and the coexistence of both of them. Moreover, the description of the present predator–prey two-sex Branching Process on the fixation events can be performed in terms of the behaviour of a one-type two-sex Branching Process with a random control on the number of individuals, which is also introduced and analysed.
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a predator prey two sex Branching Process
arXiv: Probability, 2019Co-Authors: Cristina Gutierrez, Carmen MinuesaAbstract:In this paper, we introduce a two-sex controlled Branching model to describe the interaction between predator and prey populations with sexual reproduction. This Process is a two-type Branching Process, where the first type corresponds to the predator population and the second one to the prey population. While each population is described via a two-sex Branching model, the interaction and survival of both groups is modelled through control functions depending on the current number of individuals of each type in the ecosystem. We provide necessary and sufficient conditions for the ultimate extinction of both species, the fixation of one of the species and the coexistence of both of them. Moreover, the description of the present predator-prey two-sex Branching Process on the fixation events can be performed in terms of the behaviour of a one-type two-sex Branching Process with a random control on the number of individuals, which is also introduced and analysed.
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An inhomogeneous controlled Branching Process
Lithuanian Mathematical Journal, 2015Co-Authors: Miguel González, Carmen Minuesa, Manuel Mota, Inés M. Del Puerto, Alfonso RamosAbstract:We consider a discrete-time Branching Process in which the offspring distribution is generation-dependent and the number of reproductive individuals is controlled by a random mechanism. This model is a Markov chain, but, in general, the transition probabilities are nonstationary. Under not too restrictive hypotheses, this model presents the classical duality of Branching Processes: it either becomes extinct or grows to infinity. Sufficient conditions for the almost sure extinction and for a positive probability of indefinite growth are given. Finally, the rates of growth of the Process are studied, provided that there is no extinction.