Supplementary Information from Quantifying the 'end of history' through a Bayesian Markov-chain approach (2022)

First Author: Klimm F

Attributed to: EPSRC Centre for Mathematics of Precision Healthcare funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.6084/m9.figshare.21569251

Publication URI: https://rs.figshare.com/articles/journal_contribution/Supplementary_Information_from_Quantifying_the_end_of_history_through_a_Bayesian_Markov-chain_approach/21569251

Type: Other