A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder.

A very common way to estimate the parameters of a hidden Markov model (HMM) is the relatively straightforward computation of maximum likelihood (ML) estimates. For this task, most users rely on user-friendly implementation of the estimation routines via an interpreted programming language such as the statistical software environment R. Such an approach can easily require time-consuming computations, in particular for longer sequences of observations.

Gender differentiates effects of acoustic stimulation in patients with tinnitus.

Gender constitutes a major factor to consider when tailoring subtype-based therapies for tinnitus. Previous reports showed important differences between men and women concerning basic perceptual tinnitus characteristics (i.e.