Large deviations in testing fractional Ornstein–Uhlenbeck models

Abstract

The paper obtains the explicit form of fine large deviation theorems for the log-likelihood ratio in testing models with fractional Ornstein–Uhlenbeck processes with Hurst parameter bigger than half and obtains the explicit rates of decrease of the error probabilities of Neyman–Pearson, Bayes and minimax tests.