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Module: meridian.model.posterior_sampler
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Module for MCMC sampling of posterior distributions in a Meridian model.
Classes
class MCMCOOMError
: The Markov Chain Monte Carlo (MCMC) sampling exceeds memory limits.
class MCMCSamplingError
: The Markov Chain Monte Carlo (MCMC) sampling failed.
class PosteriorMCMCSampler
: A callable that samples from posterior distributions using MCMC.
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Last updated 2025-09-05 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-05 UTC."],[],[],null,["\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/google/meridian/blob/v1.2.0/meridian/model/posterior_sampler.py) |\n\nModule for MCMC sampling of posterior distributions in a Meridian model.\n\nClasses\n\n[`class MCMCOOMError`](../../meridian/model/model/MCMCOOMError.md): The Markov Chain Monte Carlo (MCMC) sampling exceeds memory limits.\n\n[`class MCMCSamplingError`](../../meridian/model/model/MCMCSamplingError.md): The Markov Chain Monte Carlo (MCMC) sampling failed.\n\n[`class PosteriorMCMCSampler`](../../meridian/model/posterior_sampler/PosteriorMCMCSampler.md): A callable that samples from posterior distributions using MCMC."]]
