Fluctuations and precise deviations of cumulative INAR time series

Abstract
In this paper, we study fluctuations and precise deviations of cumulative INAR time series, both in a non-stationary and in a stationary regime. The theoretical results are based on the recent mod- convergence theory as presented in Féray et al., 2016. We apply our findings to the construction of approximate confidence intervals for model parameters and to quantile calculation in a risk management context.
Anno
2023
Tipo pubblicazione
Altri Autori
Matthias Kirchner
Giovanni luca Torrisi
Editore
North-Holland Publ. Co.
Rivista
Stochastic processes and their applications