Sines, steps and droplets: Semiparametric Bayesian modeling of arrival time series

Details Sines, steps and droplets: Semiparametric Bayesian modeling of arrival time series Sines, steps and droplets: Semiparametric Bayesian modeling of arrival time series

2012-01-19

arxiv.org/abs/1201.4114v1

Astronomy and Astrophysics

Astrophysics

Instrumentation and Methods for Astrophysics

4 pages, 1 figure; to appear in the proceedings of IAU Symposium 285, "New Horizons in Time Domain Astronomy" (proceedings eds

Scientific paper

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

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