Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1098/rsos.211065

https://doi.org/10.1098/rsos.211065

Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19

Cited by: 3
Author(s): Yuting I. Li, Günther Turk, Paul Rohrbach, Patrick Pietzonka, Julian Kappler, Rajesh Singh, Jaromír Doležal, Timothy Ekeh, Lukas Kikuchi, Joseph D. Peterson, Austen Bolitho, Hideki Kobayashi, Michael E. Cates, R. Adhikari, Robert L. Jack
Published: about 3 years ago

Software Mentions 1

pypi: emcee
The Python ensemble sampling toolkit for MCMC
Papers that mentioned: 22