Mathematics – Probability
Scientific paper
May 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001aipc..568..604h&link_type=abstract
BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 20th International Workshop. AIP Conference Proceedi
Mathematics
Probability
Data Analysis: Algorithms And Implementation, Data Management, Probability Theory, Stochastic Processes, And Statistics, Information Theory And Communication Theory
Scientific paper
We present an uncertainty analysis of data taken using the Rossi technique in which the horizontal oscilloscope sweep is driven sinusoidally in time while the vertical axis follows the signal amplitude. The analysis is aimed at determining the logarithmic derivative of the amplitude as a function of time. Within the Bayesian framework used, inferences are obtained with the Markov Chain Monte Carlo technique, which produces random samples from the posterior probability distribution expressed in terms of the parameters. .
Booker Jane M.
Hanson Kenneth M.
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