A Bayesian Surrogate Model for Rapid Time Series Analysis and Application to Exoplanet Observations

Details A Bayesian Surrogate Model for Rapid Time Series Analysis and Application to Exoplanet Observations A Bayesian Surrogate Model for Rapid Time Series Analysis and Application to Exoplanet Observations

2011-07-20

arxiv.org/abs/1107.4047v1

Statistics

Methodology

25 pages, 4 figures, accepted to Bayesian Analysis <http://ba.stat.cmu.edu>, special issue for Ninth Valencia International

Scientific paper

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.

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