Probabilistic and Piecewise Deterministic models in Biology

We present recent results on Piecewise Deterministic Markov Processes (PDMPs), involved in biological modeling. PDMPs, first introduced in the probabilistic literature by [30], are a very general class of Markov processes and are being increasingly popular in biological applications. They also give...

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Main Authors: Cloez Bertrand, Dessalles Renaud, Genadot Alexandre, Malrieu Florent, Marguet Aline, Yvinec Romain
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:ESAIM: Proceedings and Surveys
Online Access:https://doi.org/10.1051/proc/201760225
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author Cloez Bertrand
Dessalles Renaud
Genadot Alexandre
Malrieu Florent
Marguet Aline
Yvinec Romain
author_facet Cloez Bertrand
Dessalles Renaud
Genadot Alexandre
Malrieu Florent
Marguet Aline
Yvinec Romain
author_sort Cloez Bertrand
collection DOAJ
description We present recent results on Piecewise Deterministic Markov Processes (PDMPs), involved in biological modeling. PDMPs, first introduced in the probabilistic literature by [30], are a very general class of Markov processes and are being increasingly popular in biological applications. They also give new interesting challenges from the theoretical point of view. We give here different examples on the long time behavior of switching Markov models applied to population dynamics, on uniform sampling in general branching models applied to structured population dynamic, on time scale separation in integrate-and-fire models used in neuroscience, and, finally, on moment calculus in stochastic models of gene expression.
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spelling doaj.art-f0038d2040de4d66923b6782d73870552023-01-03T05:13:47ZengEDP SciencesESAIM: Proceedings and Surveys2267-30592017-01-016022524510.1051/proc/201760225proc186012Probabilistic and Piecewise Deterministic models in BiologyCloez BertrandDessalles RenaudGenadot AlexandreMalrieu FlorentMarguet AlineYvinec RomainWe present recent results on Piecewise Deterministic Markov Processes (PDMPs), involved in biological modeling. PDMPs, first introduced in the probabilistic literature by [30], are a very general class of Markov processes and are being increasingly popular in biological applications. They also give new interesting challenges from the theoretical point of view. We give here different examples on the long time behavior of switching Markov models applied to population dynamics, on uniform sampling in general branching models applied to structured population dynamic, on time scale separation in integrate-and-fire models used in neuroscience, and, finally, on moment calculus in stochastic models of gene expression.https://doi.org/10.1051/proc/201760225
spellingShingle Cloez Bertrand
Dessalles Renaud
Genadot Alexandre
Malrieu Florent
Marguet Aline
Yvinec Romain
Probabilistic and Piecewise Deterministic models in Biology
ESAIM: Proceedings and Surveys
title Probabilistic and Piecewise Deterministic models in Biology
title_full Probabilistic and Piecewise Deterministic models in Biology
title_fullStr Probabilistic and Piecewise Deterministic models in Biology
title_full_unstemmed Probabilistic and Piecewise Deterministic models in Biology
title_short Probabilistic and Piecewise Deterministic models in Biology
title_sort probabilistic and piecewise deterministic models in biology
url https://doi.org/10.1051/proc/201760225
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AT malrieuflorent probabilisticandpiecewisedeterministicmodelsinbiology
AT marguetaline probabilisticandpiecewisedeterministicmodelsinbiology
AT yvinecromain probabilisticandpiecewisedeterministicmodelsinbiology