Improving Bayesian radiological profiling of waste drums using Dirichlet priors, Gaussian process priors, and hierarchical modeling-Reference-Cited by-同舟云学术

Improving Bayesian radiological profiling of waste drums using Dirichlet priors, Gaussian process priors, and hierarchical modeling

Author:

Laloy Eric^ORCID,Rogiers Bart^ORCID,Bielen An,Borella Alessandro^ORCID,Boden Sven^ORCID

Funder

European Commission

H2020 Euratom

Publisher

Elsevier BV

Subject

Radiation

Reference29 articles.

1. TensorFlow: Large-scale machine learning on heterogeneous distributed systems;Abadi,2016

2. Poisson Approximation;Barbour,1992

3. A conceptual introduction to Hamiltonian Monte Carlo;Betancourt,2018

4. Boden, S., 2021. Open Geometry HRGS Measurements Performed Within the H2020 CHANCE Project: ISOCS & FRAM. I-1715 SCK CEN / CHANCE Report.

5. Neutron coincidence measurements and Monte Carlo modelling of waste drums containing reference nuclear material;Borella;EPJ Web Conf.,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. A Bayesian approach for measuring nuclear material in radioactive waste using photofission;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2023-12