Title :
Bayesian data analysis
Author :
Black, Timothy C. ; Thompson, William J.
Author_Institution :
Dept. of Phys., North Carolina Univ., Wilmington, NC, USA
Abstract :
One method of solving inverse problems in the presence of random variations (noise) emphasizes the importance of prior knowledge and uses Thomas Bayes´s theorem from statistics. We describe a data analysis problem from experimental nuclear physics, requiring analysis of the energy spectrum from a nuclear reaction. We show how to use Bayesian methods to analyze nuclear reaction spectra
Keywords :
Bayes methods; data analysis; physics computing; probability; Bayesian data analysis; Bayesian methods; experimental nuclear physics; inverse problems; nuclear reaction spectra; random variations; statistics; Bayesian methods; Building materials; Concrete; Data analysis; Data engineering; Design engineering; Information analysis; Noise shaping; Probability distribution; Slabs;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/5992.931908
