inferno: Bayesian nonparametric exchangeable inference - model-free uncertainty-quantified prediction

Offers several functions for Bayesian nonparametric exchangeable inference (also called "density" or "population" inference), including Monte Carlo calculation of posterior densities. From a machine-learning perspective, it offers a model-free, uncertainty-quantified prediction algorithm.

See also

Useful links:

• https://github.com/pglpm/inferno/

• https://pglpm.github.io/inferno/

Author

Maintainer: PierGianLuca Porta Mana pgl@portamana.org (ORCID)

Authors:

• Aurora Grefsrud agre@hvl.no (ORCID)

• Håkon Mydland haakon.mydland@gmail.com (ORCID)