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      State-Dependent Fractional Point Processes

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      Journal of Applied Probability
      Cambridge University Press (CUP)

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          Abstract

          In this paper we analyse the fractional Poisson process where the state probabilities p k ν k ( t), t≥ 0, are governed by time-fractional equations of order 0 < ν k ≤ 1 depending on the number kof events that have occurred up to time t. We are able to obtain explicitly the Laplace transform of p k ν k ( t) and various representations of state probabilities. We show that the Poisson process with intermediate waiting times depending on ν k differs from that constructed from the fractional state equations (in the case of ν k = ν, for all k, they coincide with the time-fractional Poisson process). We also introduce a different form of fractional state-dependent Poisson process as a weighted sum of homogeneous Poisson processes. Finally, we consider the fractional birth process governed by equations with state-dependent fractionality.

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          Most cited references13

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          Fractional master equations and fractal time random walks

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            Fractional Poisson process

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              The Fractional Poisson Process and the Inverse Stable Subordinator

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                Author and article information

                Journal
                applab
                Journal of Applied Probability
                J. Appl. Probab.
                Cambridge University Press (CUP)
                0021-9002
                1475-6072
                March 2015
                February 4 2016
                March 2015
                : 52
                : 01
                : 18-36
                Article
                10.1017/S0021900200012171
                0b909384-2bfe-42b9-8981-3009228b4b76
                © 2015
                History

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