Fit complex models to hetereogenous data: Bayesian and likelihood analysis made easy: Filzbach is a flexible, fast, robust, parameter estimation engine that allows you to parameterize arbitrary, non-linear models, of the kind that are necessary in biological sciences, against multiple, heterogeneous data sets. Filzbach allows for Bayesian parameter estimation, maximum likelihood analysis, priors, latents, hierarchies, error propagation and model selection, from just a few lines of code
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Bhat, Sooraj; Borgström, Johannes; Gordon, Andrew D.; Russo, Claudio: Deriving probability density functions from probabilistic functional programs (2013)
- Gordon, Andrew D.; Aizatulin, Mihhail; Borgstrom, Johannes; Claret, Guillaume; Graepel, Thore; Nori, Aditya V.; Rajamani, Sriram K.; Russo, Claudio: A model-learner pattern for Bayesian reasoning (2013)