An Introductory Overview of Statistical Methods for Discrete Time Series

Details An Introductory Overview of Statistical Methods for Discrete Time Series An Introductory Overview of Statistical Methods for Discrete Time Series

Aug 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004head....8.3102m&link_type=abstract

American Astronomical Society, HEAD meeting #8, #31.02; Bulletin of the American Astronomical Society, Vol. 36, p.1201

Astronomy and Astrophysics

Astrophysics

Scientific paper

A number of statistical problems encounted in astrophysics are concerned with discrete time series, such as photon counts with variation in source intensity over time. This talk provides an introductory overview of the current state-of-the-art methods in statistics, including Bayesian methods aided by Markov chain Monte Carlo, for modeling and analyzing such data. These methods have also been successfully applied in other fields, such as economics.

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