Output details
15 - General Engineering
University of Liverpool
Article title
ASYMPTOTICALLY INDEPENDENT MARKOV SAMPLING: A NEW MARKOV CHAIN MONTE CARLO SCHEME FOR BAYESIAN INFERENCE
Type
D - Journal article
Title of journal
International Journal for Uncertainty Quantification
Article number
-
Volume number
3
Issue number
5
First page of article
445
ISSN of journal
2152-5080
Year of publication
2013
URL
-
Number of additional authors
1
Additional information
The paper is focussed on theoretical developments and stochastic simulation experiments. It is very general and the methodology developed can be used whenever the Bayesian approach is used to solve a particular engineering (or non-engineering) problem. The efficiency of the algorithm allows dramatic reductions in computation time to be achieved.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
