Compound Poisson approximation for triangular arrays with application to threshold estimation
P. Chigansky, F. C. Klebaner

TL;DR
This paper proves the weak convergence of triangular arrays to a compound Poisson distribution and applies this result to estimate threshold parameters in autoregressive models.
Contribution
It introduces a novel proof of weak convergence for triangular arrays to the compound Poisson limit using Tikhomirov's method and applies it to statistical threshold estimation.
Findings
Established weak convergence of triangular arrays to compound Poisson distribution
Applied the theoretical result to autoregressive model threshold estimation
Provided a new methodological approach for statistical convergence proofs
Abstract
We prove weak convergence of triangular arrays to the compound Poisson limit using Tikhomirov's method. The result is applied to statistical estimation of the threshold parameter in autoregressive models.
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