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    • PyVBMC Example 1: Basic usage
    • PyVBMC Example 2: Understanding the inputs and the output trace
    • PyVBMC Example 3: Output diagnostics and saving results
    • PyVBMC Example 4: Multiple runs as validation
    • PyVBMC Example 5: Prior distributions
    • PyVBMC Example 6: Noisy log-likelihood evaluations
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Examples

Examples#

Various features and use-cases are shown in the examples below. The corresponding Jupyter Notebooks are available here, and as plain scripts here.

  • PyVBMC Example 1: Basic usage
  • PyVBMC Example 2: Understanding the inputs and the output trace
  • PyVBMC Example 3: Output diagnostics and saving results
  • PyVBMC Example 4: Multiple runs as validation
  • PyVBMC Example 5: Prior distributions
  • PyVBMC Example 6: Noisy log-likelihood evaluations

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