Bibliographic Details
| Title: |
Bayesian computational methods : a comparison |
| Authors: |
Tua, A., Zarb Adami, Kristian |
| Publisher Information: |
Cornell University |
| Publication Year: |
2010 |
| Collection: |
University of Malta: OAR@UM / L-Università ta' Malta |
| Subject Terms: |
Bayesian statistical decision theory, Variational inequalities (Mathematics), Gaussian processes -- Data processing |
| Description: |
This paper focuses on utilizing two different Bayesian methods to deal with a variety of toy problems which occur in data analysis. In particular we implement the Variational Bayesian and Nested Sampling methods to tackle the problems of polynomial selection and Gaussian Mixture Models, comparing the algorithms in terms of processing speed and accuracy. In the problems tackled here it is the Variational Bayesian algorithms which are the faster though both results give similar results. ; N/A |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://www.um.edu.mt/library/oar//handle/123456789/41123 |
| Availability: |
https://www.um.edu.mt/library/oar//handle/123456789/41123 |
| Rights: |
info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder |
| Accession Number: |
edsbas.753253EF |
| Database: |
BASE |