%0 Journal Article
%T Sines, steps and droplets: Semiparametric Bayesian modeling of arrival time series
%A Thomas J. Loredo
%J Physics
%D 2012
%I arXiv
%R 10.1017/S1743921312000300
%X 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.
%U http://arxiv.org/abs/1201.4114v1