Bayesiaanse dichtheidsschattingen
Bachelor Thesis
(2021)
Author(s)
J.C.C. Schikhof (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Contributor(s)
F.H. van der Meulen – Mentor (TU Delft - Statistics)
Faculty
Electrical Engineering, Mathematics and Computer Science
To reference this document use:
https://resolver.tudelft.nl/uuid:2a6faedb-d8b3-414a-8352-95eab597a9cf
More Info
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Publication Year
2021
Language
Dutch
Graduation Date
27-07-2021
Awarding Institution
Delft University of Technology
Programme
['Applied Mathematics']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract
Dit project vergelijkt drie verschillende kernels (Random Walk, Langevin en Barker) die gebruikt kunnen worden in het Metropolis-Hastings algoritme aan de hand van voorbeelden.