Sines, steps and droplets: Semiparametric Bayesian modeling of arrival   time series
  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. 
Thomas J. Loredo
astro-ph.IM stat.AP