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Stationarity and ergodic properties for some observation-driven models
  in random environments

Stationarity and ergodic properties for some observation-driven models in random environments

The Annals of Applied Probability (Ann. Appl. Probab.), 2020
15 July 2020
P. Doukhan
Michael H. Neumann
Lionel Truquet
ArXiv (abs)PDFHTML

Papers citing "Stationarity and ergodic properties for some observation-driven models in random environments"

5 / 5 papers shown
Mixing properties of nonstationary multivariate count processes
Mixing properties of nonstationary multivariate count processes
Zinsou Max Debaly
Michael H. Neumann
Lionel Truquet
128
3
0
17 Nov 2023
Strong mixing properties of discrete-valued time series with exogenous
  covariates
Strong mixing properties of discrete-valued time series with exogenous covariatesStochastic Processes and their Applications (SPA), 2021
Lionel Truquet
197
8
0
06 Dec 2021
Ergodic properties of some Markov chains models in random environments
Ergodic properties of some Markov chains models in random environments
Lionel Truquet
187
6
0
13 Aug 2021
Multivariate time series models for mixed data
Multivariate time series models for mixed data
Zinsou Max Debaly
Lionel Truquet
115
12
0
02 Apr 2021
Concurrent Neural Network : A model of competition between times series
Concurrent Neural Network : A model of competition between times series
Rémy Garnier
303
7
0
30 Sep 2020
1
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