, both under vanishing and non-vanishing parameter estimation error, with focus on the construction of valid bootstrap …

series. As the distribution of these tests is not known, a bootstrap version is proposed via a state space representation …. The bootstrap samples are obtained from the Kalman filter innovations under the null hypothesis. Monte Carlo simulations … for the Gaussian univariate random walk plus noise model show that the bootstrap LR test achieves higher power for medium …