A Bayesian Approach to Characterizing Uncertainty in Inverse Problems Using Coarse and Fine-Scale Information.

Autor: Higdon, Dave, Lee, Herbert, Zhuoxin Bi
Předmět:
Zdroj: IEEE Transactions on Signal Processing; Feb2002, Vol. 50 Issue 2, p389, 11p, 2 Charts, 6 Graphs
Abstrakt: Presents methodology for improving the speed and efficiency of a Markov chain Monte Carlo (MCMC) analysis. Use of a coarser scale; Methods for linking the coarse chain back to the original fine-scale chain of interest; Information on the single photon emission computed tomography.
Databáze: Complementary Index