Reprint

MaxEnt 2019

Edited by
March 2020
312 pages
  • ISBN978-3-03928-476-4 (Paperback)
  • ISBN978-3-03928-477-1 (PDF)

This book is a reprint of the Proceedings of MaxEnt 2019 that was published in

Biology & Life Sciences
Business & Economics
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Medicine & Pharmacology
Physical Sciences
Social Sciences, Arts & Humanities
Public Health & Healthcare
Summary
This Proceedings book presents papers from the 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2019. The workshop took place at the Max Planck Institute for Plasma Physics in Garching near Munich, Germany, from 30 June to 5 July 2019, and invited contributions on all aspects of probabilistic inference, including novel techniques, applications, and work that sheds new light on the foundations of inference. Addressed are inverse and uncertainty quantification (UQ) and problems arising from a large variety of applications, such as earth science, astrophysics, material and plasma science, imaging in geophysics and medicine, nondestructive testing, density estimation, remote sensing, Gaussian process (GP) regression, optimal experimental design, data assimilation, and data mining.
Format
  • Paperback
License
© 2020 by the authors; CC BY-NC-ND license