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Appears in collection : Logique de la programmation probabiliste / Logic of Probabilistic Programming

The last few years have seen several breakthroughs in the semantic foundations of statistical modelling. In this tutorial, I will introduce one of these approaches --- quasi Borel spaces. We will review and develop a semantic tool-kit for measure theory using higher-order functions. We will apply it to the semantic foundations of generative Bayesian modelling.

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Citation data

  • DOI 10.24350/CIRM.V.19884303
  • Cite this video Kammar, Ohad (03/02/2022). An introduction to statistical modelling semantics with higher-order measure theory. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19884303
  • URL https://dx.doi.org/10.24350/CIRM.V.19884303

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