arXiv · 1201.4114
Sines, steps and droplets: Semiparametric Bayesian modeling of arrival time series
Abstract
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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Thomas J. Loredo. 2012-01-19. Sines, steps and droplets: Semiparametric Bayesian modeling of arrival time series. https://doi.org/10.1017/s1743921312000300
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