[PDF] Top 20 Interacting Markov branching processes
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Interacting Markov branching processes
... the Markov branching processes with immigration-migration and resurrection are studied in ...state-dependent branching component takes a relatively important part than the state-independent ... See full document
164
Model Diatom Population by Branching Stochastic Processes
... the branching stochastic process of Bellman-Harris (BPBH) Z ...non Markov multidimensional BPBH is difficult for explicit ...non Markov branching ...stochastic processes assess the ... See full document
6
An Uninterrupted Time Markov Process on the Transition Probability Matrix with Markov Branching Process
... with Markov processes, in particular diffusion processes, has been treated by Skorokhod, Gikhman, Borovkov and ...our processes and the one-step transition probabilities of our Markov ... See full document
22
On a comparison result for Markov processes
... of interacting diffusions a comparison result for the directionally convex ordering has been established in Cox, Fleischmann, and Greven (1996) and Greven, Klenke, and Wakolbinger (2002) under the condition that ... See full document
10
Measure valued limits of interacting particle systems with k nary interactions II, Finite dimensional limits
... death processes). Generalizing the notion of local branching widely used in the theory of superprocesses (see ...Ψ. Processes subject to this restriction include a variety of the so called birth and ... See full document
18
Moderate deviations of functional of Markov Processes
... In this section, we explain some features related to large deviations of a self-interacting one-dimensional process called the “true” self-repelling motion (TSRM), defined by Bálint Tóth and Wendelin Werner in ... See full document
25
Application of Markov Processes to the Machine Delays Analysis
... the Markov model improves upon this by providing an analytic ...The Markov model also avoids the problems of correlated output data from simulations by explicitly recognizing that any possible future state ... See full document
10
Branching stable point processes
... point processes by defining the scaling operation in a randomised way: scaling a configuration by t corresponds to letting such a configuration evolve according to a Markov branching particle system ... See full document
27
On Markov processes with decomposable pseudo differential generators
... analytically they are simpler to deal with, but at the same time their properties capture the major qualitative features of the general case. On the other hand, the decomposable generators appear naturally in connection ... See full document
51
Nonlinear Markov semigroups and interacting Lévy type processes
... of interacting diffusions (second order operators A), see [49], [55], [56], [24], [59] and references therein, and of the deterministic processes (first order operators A), see ...for interacting ... See full document
50
5ca6ef112db3ff10abce475834d80334c6f81aaa.pdf
... measure processes associated with weakly interacting Markov processes are ...of interacting diffusions whereas the second describes a collection of pure jump Markov ... See full document
49
On expected durations of birth death processes with applications to branching processes and SIS epidemics
... type processes with particular emphasis upon branching processes and SIS (susceptible → infective → susceptible) epidemic ...death processes, as many birth-death processes do not ... See full document
17
Numerical approximation of general Lipschitz BSDEs with branching processes
... Abstract. We extend the branching process based numerical algorithm of Bouchard et al. [3], that is dedicated to semilinear PDEs (or BSDEs) with Lipschitz nonlinearity, to the case where the nonlinearity involves ... See full document
21
A metrized duality theorem for Markov processes
... Stone-type dualities are recognized as being ubiquitous, especially in computer science. For example Plotkin [22] and Smyth [23] (see also [21]) emphasized that the duality between state-transformer semantics and ... See full document
17
Some contributions to Markov decision processes
... • For a constrained MDP model in Borel spaces with possibly unbounded from both above and below cost functions and long-run expected average criterion, we show that any extreme point of [r] ... See full document
160
A Study on Homogenous and Heterogenous Markov Processes
... homogeneous Markov model and the second stage is the lifetime value of a customer which is an important and useful concept in interactive marketing , dealt with in case of heterogeneous Markov ... See full document
5
Augmenting Markov Decision Processes with Advising
... (Advice Markov Decision Processes). Advice-MDPs are Markov Decision Processes (MDPs (Puterman 1994)) expanded with advis- ing, for defining situationally-forbidden actions and aug- menting ... See full document
8
Long-Range Dependence of Markov Processes
... gji2yfg w@oWcf@klhgjunWpuhg{y!g{yfcf@kwHpupklcfkswHpi wHcfehg upkitctyksoWnpcfkswHv nppcfklwH8w@vcfehg itg{y klg cfklq gji@Wu8cfehg ifctynpcfnhyfgw@vcfepg w@y[r] ... See full document
17
Compositional Reasoning for Markov Decision Processes
... or processes in general corre- spond to distributions over states, so in order to define what it means for a process to perform an action, we need to lift these relations so that they also apply to ... See full document
16
On the complexity of computing maximum entropy for Markovian Models
... On top of a purely probabilistic model like MCs, it is probably more interesting to consider probabilistic models with nondeterminism, typically Interval Markov chains (IMCs) and Markov Decision ... See full document
14
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