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

HIGHLIGHTS

• who: Markov chain and collaborators from the Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrau00dfe, Berlin, Germany have published the research: 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. In figure 6, the authors show the expected temporal development of the distribution of POLITY2 scores over the next 800 years. Specifically, the authors show the fraction . . .
  

   

  

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