Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Thanks to their rapid evolution, viral genomes can be analyzed and compared to estimate the dispersal history of the virus responsible for an epidemic, a task known as phylogeographic inference. In ...

This tutorial will not only outline strategies for eliciting and specifying priors based on existing knowledge but will also demonstrate how these choices affect the results obtained from Bayesian ...