Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

PINT is a project to develop a pulsar timing solution based on python and modern libraries. It is still in active development, but it is in production use by the NANOGrav collaboration and it has been ...

Please see the repository license for the licensing and usage information for datacleaner. Generally, we have licensed the MarkovNetwork package to make it as widely usable as possible. MarkovNetwork ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.