Open Access
September 2011 A Bayesian surrogate model for rapid time series analysis and application to exoplanet observations
Eric B. Ford, Althea V. Moorhead, Dimitri Veras
Bayesian Anal. 6(3): 475-499 (September 2011). DOI: 10.1214/11-BA619

Abstract

We present a Bayesian surrogate model for the analysis of periodic or quasi-periodic time series data. We describe a computationally efficient implementation that enables Bayesian model comparison. We apply this model to simulated and real exoplanet observations. We discuss the results and demonstrate some of the challenges for applying our surrogate model to realistic exoplanet data sets. In particular, we find that analyses of real world data should pay careful attention to the effects of uneven spacing of observations and the choice of prior for the "jitter" parameter.

Citation

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Eric B. Ford. Althea V. Moorhead. Dimitri Veras. "A Bayesian surrogate model for rapid time series analysis and application to exoplanet observations." Bayesian Anal. 6 (3) 475 - 499, September 2011. https://doi.org/10.1214/11-BA619

Information

Published: September 2011
First available in Project Euclid: 13 June 2012

zbMATH: 1330.62448
MathSciNet: MR2843541
Digital Object Identifier: 10.1214/11-BA619

Subjects:
Primary: 62P35
Secondary: 62F15 , 62M10 , 85A04

Keywords: Exoplanets , model comparison , Model selection , numerical methods , periodogram , Radial velocities , Transit timing variations

Rights: Copyright © 2011 International Society for Bayesian Analysis

Vol.6 • No. 3 • September 2011
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