Join the newly launched
Discord community for real-time discussions, peer support, and direct interaction with the Meridian team!
Module: meridian.model.posterior_sampler
Stay organized with collections
Save and categorize content based on your preferences.
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.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-09-23 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-23 UTC."],[],[],null,[]]
View source on GitHub