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Sines, Steps and Droplets: Semi-parametric Bayesian Modelling of Arrival Time Series

Published online by Cambridge University Press:  20 April 2012

Thomas J. Loredo*
Affiliation:
Department of Astronomy, Cornell University, Ithaca, New York, USA email: loredo@astro.cornell.edu
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Abstract

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I describe ongoing work developing Bayesian methods for flexible modelling of arrival-time-series data without binning. The aim is to improve the detection and measurement of X-ray and gamma-ray pulsars and of pulses in gamma-ray bursts. The methods use parametric and semi-parametric Poisson point process models for the event rate, and by design have close connections to conventional frequentist methods that are currently used in time-domain astronomy.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2012

References

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