bamlss: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Author:
Umlauf NikolausORCID,
Klein NadjaORCID,
Zeileis AchimORCID,
Simon ThorstenORCID
Publisher
The R Foundation
Reference11 articles.
1. Umlauf N, Klein N, Simon T, Zeileis A (2021). "bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)." _Journal of Statistical Software_, *100*(4), 1-53. .
2. Umlauf N, Klein N, Zeileis A (2018). "BAMLSS: Bayesian Additive Models for Location, Scale and Shape (and Beyond)." _Journal of Computational and Graphical Statistics_, *27*(3), 612-627. .
3. Muschinski T, Mayr GJ, Simon T, Umlauf N, Zeileis A (2024). "Cholesky-Based Multivariate Gaussian Regression." _Econometrics and Statistics_, *29*, 261-281. .
4. Strictly Proper Scoring Rules, Prediction, and Estimation
5. Probabilistic forecasts, calibration and sharpness