Quantifying the ‘end of history’ through a bayesian markov-chain approach

HIGHLIGHTS

• who: Markov chain et al. from the Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrau00dfe, Berlin, Germany have published the research work: Quantifying the u2018end of historyu2019 through a Bayesian Markov-chain approach, in the Journal: (JOURNAL) of 05/01/2023
• what: The authors provide a brief, intuitive description of Markov processes and how they can be used to model the transition between political regimes. Specifically, the authors show the fraction of full democracies (i.e. s=+10) and R. Soc. In figure 6, the authors show the expected temporal development . . .
  

   

  

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