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Proceedings, 2019, MaxEnt 2019

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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.

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Keywords

  • acoustic phonetics
  • annealed importance sampling
  • aortic dissection
  • artificial intelligence (AI)
  • bayes
  • Bayesian analysis
  • Bayesian evidence
  • Bayesian Maximum a Posteriori approach
  • cervical vertebra maturation
  • Classification
  • Cluster analysis
  • convolutional neural network (CNN)
  • Deep Learning (DL)
  • detrending
  • entropy prior probability
  • Evidence
  • field reconstruction
  • formant
  • Gaussian process regression
  • Gaussian processes
  • global statistical regularization
  • HMC
  • hypothesis tests
  • Image reconstruction
  • impedance cardiography
  • kernel methods
  • local statistical regularization
  • Machine learning
  • marginal likelihood
  • MCMC
  • mean shift method
  • meshless methods
  • model averaging
  • model comparison
  • Monte Carlo
  • multi fidelity
  • nested sampling
  • Nimitz
  • non-intrusive
  • Orthodontics
  • Partial Differential equations
  • pet
  • physics-informed methods
  • plasma-wall interactions
  • pragmatic hypotheses
  • precise hypotheses
  • probability theory
  • SGHMC
  • source localization
  • source-filter theory
  • SPECT
  • spectral expansion
  • steady-state
  • stochastic gradients
  • thermodynamic Integration
  • Tic-Tac
  • UAP
  • UAV
  • UFO
  • Uncertainty Quantification
  • Vowel

Links

DOI: 10.3390/books978-3-03928-477-1

Editions

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