An efficient Bayesian method for inverting physical models on massive planetary data

Benoit Kugler; Florence Forbes; Sylvain Douté

Conference Papers Year :

An efficient Bayesian method for inverting physical models on massive planetary data

(1) , (1) , (2)

1
2

Benoit Kugler

Function : Author

Modèles statistiques bayésiens et des valeurs extrêmes pour données structurées et de grande dimension

Florence Forbes

Function : Author
PersonId : 16305
IdHAL : florence-forbes
ORCID : 0000-0003-3639-0226
IdRef : 12469781X

Modèles statistiques bayésiens et des valeurs extrêmes pour données structurées et de grande dimension

Sylvain Douté

Function : Author
PersonId : 180313
IdHAL : sylvain-doute
ORCID : 0000-0003-3130-5336
IdRef : 156558394

Institut de Planétologie et d'Astrophysique de Grenoble

Domains

Earth and Planetary Astrophysics [astro-ph.EP] Methodology [stat.ME] Machine Learning [stat.ML]

Fichier principal

EPSC_2020____Abstract.pdf (1.3 Mo)

Origin : Files produced by the author(s)

Benoit KUGLER : Connect in order to contact the contributor

https://hal.science/insu-03705153

Submitted on : Monday, September 28, 2020-5:00:28 PM

Last modification on : Friday, March 24, 2023-2:53:18 PM

Long-term archiving on: Tuesday, December 29, 2020-7:04:05 PM

Dates and versions

insu-03705153 , version 1 (28-09-2020)

insu-03705153 , version 2 (02-07-2022)

Identifiers

HAL Id : insu-03705153 , version 1

Cite

Benoit Kugler, Florence Forbes, Sylvain Douté. An efficient Bayesian method for inverting physical models on massive planetary data. EPSC 2020 - Europlanet Science Congress, Sep 2020, Granada (Virtual meeting), Spain. pp.1-4. ⟨insu-03705153v1⟩

An efficient Bayesian method for inverting physical models on massive planetary data

Domains

Dates and versions

Identifiers

Cite

Export

Share