Statistical estimation of jump rates for a piecewise deterministic Markov processes with deterministic increasing motion and jump mechanism
ESAIM: Probability and Statistics, Tome 20 (2016), pp. 196-216

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We consider the class of Piecewise deterministic Markov processes (PDMP), whose state space is ( 0 , ) , that possess an increasing deterministic motion and with a deterministic jump mechanism. Well known examples for this class of processes are transmission control protocol (TCP) window size process and the processes modeling the size of a “marked” Escherichia coli cell. Having observed the PDMP until its nth jump, we construct a nonparametric estimator of the jump rate λ . Our main result is that for 𝒟 a compact subset of ( 0 , ) , if λ is in the Hölder space 8 ( 𝒟 ) , the squared-loss error of the estimator is asymptotically close to the speed of n - s / ( 2 s + 1 ) . Simulations illustrate the behavior of our estimator.

DOI : 10.1051/ps/2016013
Classification : 62M05, 62G05, 62G20, 60J25
Keywords: Piecewise deterministic markov processes, nonparametric estimation, jump rate estimation, ergodicity of Markov chains

Krell, Nathalie 1

1 Université de Rennes 1, Institut de Recherche mathématique de Rennes, CNRS-UMR 6625, Campus de Beaulieu, Bâtiment 22, 35042 Rennes cedex, France.
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     title = {Statistical estimation of jump rates for a piecewise deterministic {Markov} processes with deterministic increasing motion and jump mechanism},
     journal = {ESAIM: Probability and Statistics},
     pages = {196--216},
     publisher = {EDP-Sciences},
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Krell, Nathalie. Statistical estimation of jump rates for a piecewise deterministic Markov processes with deterministic increasing motion and jump mechanism. ESAIM: Probability and Statistics, Tome 20 (2016), pp. 196-216. doi: 10.1051/ps/2016013

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