Mostrar el registro sencillo del ítem
dc.contributor.author
Nelson, Benjamin E.
dc.contributor.author
Ford, Eric B.
dc.contributor.author
Buchner, Johannes
dc.contributor.author
Cloutier, Ryan
dc.contributor.author
Díaz, Rodrigo Fernando
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.contributor.author
Faria, Joaõ P.
dc.contributor.author
Hara, Nathan C.
dc.contributor.author
Rajpaul, Vinesh M.
dc.contributor.author
Rukdee, Surangkhana
dc.date.available
2022-09-09T17:06:59Z
dc.date.issued
2020-02
dc.identifier.citation
Nelson, Benjamin E.; Ford, Eric B.; Buchner, Johannes; Cloutier, Ryan; Díaz, Rodrigo Fernando; et al.; Quantifying the Bayesian Evidence for a Planet in Radial Velocity Data; IOP Publishing; Astronomical Journal; 159; 2; 2-2020; 1-34
dc.identifier.issn
0004-6256
dc.identifier.uri
http://hdl.handle.net/11336/168168
dc.description.abstract
We present results from a data challenge posed to the radial velocity (RV) community: Namely, to quantify the Bayesian "evidence"for n = {0, 1, 2, 3} planets in a set of synthetically generated RV data sets containing a range of planet signals. Participating teams were provided the same likelihood function and set of priors to use in their analysis. They applied a variety of methods to estimate the marginal likelihood for each n-planet model, including cross-validation, the Laplace approximation, importance sampling, and nested sampling. We found the dispersion in across different methods grew with increasing n-planet models: ∼3 for zero planets, ∼10 for one planet, ∼102-103 for two planets, and >104 for three planets. Most internal estimates of uncertainty in for individual methods significantly underestimated the observed dispersion across all methods. Methods that adopted a Monte Carlo approach by comparing estimates from multiple runs yielded plausible uncertainties. Finally, two classes of numerical algorithms (those based on importance and nested samplers) arrived at similar conclusions regarding the ratio of for n- A nd (n + 1)-planet models. One analytic method (the Laplace approximation) demonstrated comparable performance. We express both optimism and caution: We demonstrate that it is practical to perform rigorous Bayesian model comparison for models of ≤3 planets, yet robust planet discoveries require researchers to better understand the uncertainty in and its connections to model selection.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
IOP Publishing
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Exoplanet detection methods
dc.subject
Radial velocity
dc.subject
Astrostatistics techniques
dc.subject
Model selection
dc.subject
Time series analysis
dc.subject
Algorithms
dc.subject
Bayes factor
dc.subject
Nested sampling
dc.subject
Importance sampling
dc.subject.classification
Astronomía
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
Ciencias Físicas
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.title
Quantifying the Bayesian Evidence for a Planet in Radial Velocity Data
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-08T15:11:47Z
dc.journal.volume
159
dc.journal.number
2
dc.journal.pagination
1-34
dc.journal.pais
Reino Unido
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.journal.ciudad
Londres
dc.description.fil
Fil: Nelson, Benjamin E.. Northwestern University; Estados Unidos
dc.description.fil
Fil: Ford, Eric B.. Pennsylvania State University; Estados Unidos
dc.description.fil
Fil: Buchner, Johannes. Pontificia Universidad Católica de Chile; Chile. Universidad Católica de Chile; Chile
dc.description.fil
Fil: Cloutier, Ryan. University of Toronto; Canadá
dc.description.fil
Fil: Díaz, Rodrigo Fernando. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: Faria, Joaõ P.. Universidad de Porto; Portugal
dc.description.fil
Fil: Hara, Nathan C.. Universite Ifm Geneve (ifm); Suiza
dc.description.fil
Fil: Rajpaul, Vinesh M.. University of Cambridge; Estados Unidos
dc.description.fil
Fil: Rukdee, Surangkhana. Pontificia Universidad Católica de Chile; Chile. Universidad Católica de Chile; Chile
dc.journal.title
Astronomical Journal
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3847/1538-3881/ab5190
Archivos asociados