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Bayesian Computation

Notebooks that describe methods in Bayesian Computation, including Gibbs Sampling, Markov chain Monte Carlo, and Hamiltonian Monte Carlo.
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Sampling from Multi-Modal Distributions This notebook is a fork
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Herb Susmann
Jul 25, 2023•4 3
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Hamiltonian Markov Chain Monte Carlo
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Herb Susmann
Mar 20, 2023•15 1
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Random Walk Metropolis
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Herb Susmann
Feb 12, 2019•7
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Gibbs Sampler for Bivariate Normal Posterior
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Herb Susmann
Feb 3, 2019•5
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One-dimensional Metropolis-Hastings
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Herb Susmann
Mar 20, 2023•5
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Leapfrog Integrator
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Herb Susmann
Feb 8, 2019•7
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Platform
  • Observable Canvases
  • Observable Notebooks
  • Pricing
Docs
  • Observable
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  • D3
  • Release notes
Resources
  • Blog
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  • Customer stories
  • Community Slack
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Company
  • About
  • Careers
  • GitHub
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