Fluctuations of the Empirical Measure of Freezing Markov Chains

Autor: Bertrand Cloez, Florian Bouguet
Přispěvatelé: Biology, genetics and statistics (BIGS), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Élie Cartan de Lorraine (IECL), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut Élie Cartan de Lorraine (IECL), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Chaire Modelisation Mathematique et Biodiversite, ANR-12-JS01-0006,PIECE,Ergodicité, contrôle et statistique pour les PDMP(2012), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)
Rok vydání: 2017
Předmět:
Statistics and Probability
Mathematical optimization
General Mathematics
Markov chain
60J10
60J25
60F05

Discrete phase-type distribution
Piecewise-deterministic Markov process
Long-time behavior
01 natural sciences
Mathématiques générales
Continuous-time Markov chain
010104 statistics & probability
Markov renewal process
60J25
60F05
FOS: Mathematics
Statistical physics
0101 mathematics
Mathematics
Probability
Markov chain mixing time
convergence
010102 general mathematics
Probability (math.PR)
long-time behavior
piecewise-deterministic Markov process
Ornstein-Uhlenbeck process
asymptotic pseudotrajectory
Probabilités
MSC 60J10
Harris chain
[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
probabilité
Balance equation
60J10
Markov property
chaîne de markov
Statistics
Probability and Uncertainty

Mathematics - Probability
algorithme
Asymptotic pseudotrajectory
Zdroj: Electronic Journal of Probability
Electronic Journal of Probability, Institute of Mathematical Statistics (IMS), 2018, 23, pp.1-32. ⟨10.1214/17-EJP130⟩
Electronic Journal of Probability, Institute of Mathematical Statistics (IMS), 2018, 23, ⟨10.1214/17-EJP130⟩
Electronic Journal of Probability (23), 1-32. (2018)
Electron. J. Probab.
Electronic Journal of Probability, 2018, 23, pp.1-32. ⟨10.1214/17-EJP130⟩
ISSN: 1083-6489
DOI: 10.48550/arxiv.1705.02121
Popis: In this work, we consider a finite-state inhomogeneous-time Markov chain whose probabilities of transition from one state to another tend to decrease over time. This can be seen as a cooling of the dynamics of an underlying Markov chain. We are interested in the long time behavior of the empirical measure of this freezing Markov chain. Some recent papers provide almost sure convergence and convergence in distribution in the case of the freezing speed $n^{-\theta}$, with different limits depending on $\theta1$. Using stochastic approximation techniques, we generalize these results for any freezing speed, and we obtain a better characterization of the limit distribution as well as rates of convergence as well as functional convergence.
Comment: 30 pages
Databáze: OpenAIRE