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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
Thomas J. Loredo*
Affiliation:
Department of Astronomy, Cornell University, Ithaca, New York, USA email: [email protected]
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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.

Keywords

methods: statisticalmethods: data analysispulsars: generalgamma rays: bursts
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 7 , Symposium S285: New Horizons in Time-Domain Astronomy , September 2011 , pp. 87 - 90
Copyright
Copyright © International Astronomical Union 2012

References

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