Regular Transition Functions and Regular Superprocesses
Copyright policy )Regular Transition Functions and Regular Superprocesses
The class of regular Markov processes is very close to the class of right processes studied by Meyer, Getoor and others. We say that a transition function p p is regular if it is the transition function of a well-defined regular Markov process. A characterization of regular transition functions is given which implies that, if p p is regular, then the Dawson-Watanabe and the Fleming-Viot supertransition functions over p p belong to the same class.
- Cornell University United States
Multiplicative functionals and Markov processes, characterization of regular transition functions, regular Markov processes, supertransition functions, Boundary theory for Markov processes, Branching processes (Galton-Watson, birth-and-death, etc.), Continuous-time Markov processes on general state spaces, Random fields, Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.), right processes, Signal detection and filtering (aspects of stochastic processes)
Multiplicative functionals and Markov processes, characterization of regular transition functions, regular Markov processes, supertransition functions, Boundary theory for Markov processes, Branching processes (Galton-Watson, birth-and-death, etc.), Continuous-time Markov processes on general state spaces, Random fields, Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.), right processes, Signal detection and filtering (aspects of stochastic processes)
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).17 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!