Limit theorems for bifurcating integer-valued autoregressive processes
Vassili Blandin

TL;DR
This paper investigates the long-term behavior of estimators in bifurcating integer-valued autoregressive processes, establishing their convergence and distributional properties using martingale techniques.
Contribution
It provides new asymptotic results for estimators in bifurcating integer-valued autoregressive models, including almost sure convergence and limit theorems.
Findings
Almost sure convergence of estimators
Quadratic strong law established
Central limit theorem proved
Abstract
We study the asymptotic behavior of the weighted least squares estimators of the unknown parameters of bifurcating integer-valued autoregressive processes. Under suitable assumptions on the immigration, we establish the almost sure convergence of our estimators, together with the quadratic strong law and central limit theorems. All our investigation relies on asymptotic results for vector-valued martingales.
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Statistical Methods and Inference · Probability and Risk Models
