References

Betancourt, Michael. 2017. “A Conceptual Introduction to Hamiltonian Monte Carlo.” arXiv Preprint arXiv:1701.02434.

Carstens, Herman, Xiaohua Xia, and Sarma Yadavalli. 2018. “Bayesian Energy Measurement and Verification Analysis.” Energies 11 (2): 380.

Chong, Adrian, Godfried Augenbroe, and Da Yan. 2021. “Occupancy Data at Different Spatial Resolutions: Building Energy Performance and Model Calibration.” Applied Energy 286: 116492.

Chong, Adrian, and Kathrin Menberg. 2018. “Guidelines for the Bayesian Calibration of Building Energy Models.” Energy and Buildings 174: 527–47.

Gelman, Andrew, John B Carlin, Hal S Stern, David B Dunson, Aki Vehtari, and Donald B Rubin. 2013. Bayesian Data Analysis. CRC press.

James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2013. An Introduction to Statistical Learning. Vol. 112. Springer.

JCGM. 2008. “Evaluation of Measurement Data—Guide to the Expression of Uncertainty in Measurement.” Int. Organ. Stand. Geneva ISBN 50: 134.

Kennedy, Marc C, and Anthony O’Hagan. 2001. “Bayesian Calibration of Computer Models.” Journal of the Royal Statistical Society: Series B (Statistical Methodology) 63 (3): 425–64.

Shonder, John A, and Piljae Im. 2012. “Bayesian Analysis of Savings from Retrofit Projects.” ASHRAE Transactions 118: 367.

Shumway, Robert H, and David S Stoffer. 2000. Time Series Analysis and Its Applications. Vol. 3. Springer.

Vehtari, Aki, Andrew Gelman, Daniel Simpson, Bob Carpenter, and Paul-Christian Bürkner. 2021. “Rank-Normalization, Folding, and Localization: An Improved r for Assessing Convergence of MCMC.” Bayesian Analysis 1 (1): 1–28.