Universiteit Leiden

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Proefschrift

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.

Auteur
Chen, X.
Datum
05 januari 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

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