Dissertation
Prediction Sets via Parametric and Nonparametric Bayes: with Applications in Pharmaceutical Industry
This thesis consists of five chapters on how to construct prediction sets for different types of data and models in a parametric or nonparametric Bayesian paradigm.
- Author
- Chen, X.
- Date
- 05 January 2021
- Links
- Thesis in Leiden Repository
This thesis consists of five chapters on how to construct prediction sets for different types of data and models in a parametric or nonparametric Bayesian paradigm. The motivation of the models comes from applications in pharmaceutical