Large deviations in testing fractional Ornstein-Uhlenbeck models

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.