Proceedings, 2019, MaxEnt 2019

Udo Von Toussaint

ISBN 10: 3039284762 / ISBN 13: 9783039284764

Published by MDPI AG, 2020

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9783039284764

Bibliographic Details

• Title: Proceedings, 2019, MaxEnt 2019
• Publisher: MDPI AG
• Publication Date: 2020
• Language: English
• ISBN 10: 3039284762
• ISBN 13: 9783039284764
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 20D millimeters 244 millimeters width by 170 millimeters height by 20 millimeters depth
• Weight: 801 grams

About this title

Synopsis

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.