The Bayesian statistical paradigm employs probability concepts to articulate uncertainty surrounding the processes generating the observed data. In particular, probability distributions play a central role in Bayesian analysis: the prior distribution incorporates subjective beliefs regarding unknown quantities, such as parameters or latent variables.

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Software Packages for Bayesian Analysis

  • Raffaele Argiento,
  • Michela Cameletti

摘要

The Bayesian statistical paradigm employs probability concepts to articulate uncertainty surrounding the processes generating the observed data. In particular, probability distributions play a central role in Bayesian analysis: the prior distribution incorporates subjective beliefs regarding unknown quantities, such as parameters or latent variables.