PyMC: Bayesian Stochastic Modelling in Python. PyMC is a python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Luttinen, Jaakko: BayesPy: variational Bayesian inference in Python (2016)
- Cohen, Michael I.; Cutler, Curt; Vallisneri, Michele: Searches for cosmic-string gravitational-wave bursts in Mock LISA Data (2010)