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Bayesian Measurement and Verification

Table of contents

Welcome
Background
1 Measurement and verification
2 Bayesian data analysis
Whole building M&V: option C
3 Tutorial 1: linear regression and introduction to Stan
4 Tutorial 2: increasing model complexity
5 Tutorial 3: correlated residuals
Option D
6 Option D basics
7 Bayesian calibration
References

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7 Bayesian calibration

Some literature and principles of “bayesian calibration”, which is how Option D can be done bayesically.

6 Option D basics

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7 Bayesian calibration

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"Bayesian Measurement and Verification" was written by Simon Rouchier.

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