M. Ndaoud

Sharp and Adaptive Cluster Recovery in Slowly Mixing Gaussian Hidden Markov Models

We study cluster recovery in a two-state Gaussian hidden Markov model in the slowly mixing regime, where the transition probability $\delta$ may vanish with the sample size. Temporal persistence creates long homogeneous segments and fundamentally changes the recovery problem relative to the i.i.d. Gaussian mixture benc...