Bayesian Inference and Maximum Entropy Methods in Science and Engineering MaxEnt 37, Jarinu, Brazil, July 09-14, 2017 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Polpo, Adriano (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Stern, Julio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Louzada, Francisco (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Izbicki, Rafael (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Takada, Hellinton (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Springer Proceedings in Mathematics & Statistics, 239
• Θέματα: Statistics .; Thermodynamics.; Biostatistics.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistical Theory and Methods.

These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They gat...