Applications of a disintegration transformationDownload PDF

22 Sep 2019 (modified: 22 Sep 2019)NeurIPS 2019 Workshop Program Transformations SubmissionReaders: Everyone
  • Keywords: disintegration, probabilistic programming, density, MCMC
  • TL;DR: Conditioning, density, and MCMC sampling via disintegration
  • Abstract: We describe examples of applying a disintegration transformation on probabilistic programs to obtain posterior distributions, calculate symbolic representations of densities, and generate Markov Chain Monte Carlo (MCMC) samplers.
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