A Bayesian surrogate model for rapid time series analysis and application to exoplanet observations

Eric B. Ford, Althea V. Moorhead, Dimitri Veras

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

We present a Bayesian surrogate model for the analysis of periodic or quasi-periodic time series data. We describe a computationally efficient implemen-tation 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.

Original languageEnglish (US)
Pages (from-to)475-500
Number of pages26
JournalBayesian Analysis
Volume6
Issue number3
DOIs
StatePublished - Dec 5 2011

Fingerprint

Exoplanets
Surrogate Model
Time series analysis
Time Series Analysis
Bayesian Model
Model Comparison
Jitter
Time Series Data
Spacing
Demonstrate
Time series
Observation
Model

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Applied Mathematics

Cite this

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A Bayesian surrogate model for rapid time series analysis and application to exoplanet observations. / Ford, Eric B.; Moorhead, Althea V.; Veras, Dimitri.

In: Bayesian Analysis, Vol. 6, No. 3, 05.12.2011, p. 475-500.

Research output: Contribution to journalArticle

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