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"A Fully Bayesian Approach For Inferring Physical Properties With ..."

Maxime Vono et al. (2019)

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DOI: 10.1109/WHISPERS.2019.8920859

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

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  dblp key:
  - conf/whispers/VonoGGGHKLBLLOB19
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  - https://dblp.org/rec/conf/whispers/VonoGGGHKLBLLOB19
Maxime Vono, Javier R. Goicoechea, Pierre Gratier, Viviana V. Guzmán, Annie Hughes, Jouni Kainulainen, David Languignon, Jacques Le Bourlot, François Levrier, Harvey S. Listz, Karin I. Oberg, Emeric Bron, Jan H. Orkisz, Nicolas Peretto, Jérome Pety, Antoine Roueff, Èvelyne Roueff, Albrecht Sievers, Victor de Souza Magalhaes, Pascal Tremblin, Pierre Chainais, Franck Le Petit, Sébastien Bardeau, Sébastien Bourguignon, Jocelyn Chanussot, Mathilde Gaudel, Maryvonne Gerin:
A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data. WHISPERS 2019: 1-5

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