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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Polpo, Adriano (Editor, http://id.loc.gov/vocabulary/relators/edt), Stern, Julio (Editor, http://id.loc.gov/vocabulary/relators/edt), Louzada, Francisco (Editor, http://id.loc.gov/vocabulary/relators/edt), Izbicki, Rafael (Editor, http://id.loc.gov/vocabulary/relators/edt), Takada, Hellinton (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Proceedings in Mathematics & Statistics, 239
• Subjects: 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...