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

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
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:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Ariel Caticha,Quantum phases in entropic dynamics
  • Ali Mohammad-Djafari,Bayesian Approach to Variable Splitting - Link with ADMM Methods
  • Afonso Vaz,Prior shift using the Ratio Estimator
  • Camila B. Martins,Bayesian meta-analytic measure
  • Diego Marcondes,Feature Selection from Local Lift Dependence based Partitions
  • Dirk Nille,Probabilistic Inference of Surface Heat Flux Densities from Infrared Thermography
  • Donald Spector,Schrödinger's Zebra: Applying Mutual Information Maximization to Graphical Halftoning
  • Geert Verdoolaege,Regression of Fluctuating System Properties: Baryonic Tully-Fisher Scaling in Disk Galaxies
  • Hellinton Takada,Bayesian Portfolio Optimization for Electricity Generation Planning
  • Jony Pinto Junior,Bayesian variable selection methods for log-Gaussian Cox processes
  • Keith Earle,Effect of Hindered Diffusion on the Parameter Sensitivity of Magnetic Resonance Spectra
  • Leandro Ferreira,The random Bernstein polynomial smoothing via ABC method
  • Nestor Caticha,Mean Field studies of a society of interacting agents
  • Marcio Diniz,The beginnings of axiomatic subjective probability
  • Mircea Dumitru,Model selection in the sparsity context for inverse problems in Bayesian framework
  • Milene Farhat,Sample Size Calculation using Decision Theory
  • Nathália Moura,Utility for Significance Tests
  • Paulo Hubert,Probabilistic equilibria: a review on the application of MAXENT to macroeconomic models
  • Paulo Hubert,Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data
  • Patricio Maturana,Bayesian support for Evolution: detecting phylogenetic signal in a subset of the primate family
  • Rafael Catoia Pulgrossi,A comparison of two methods for obtaining a collective posterior distribution
  • Rafael Console,A nonparametric Bayesian approach for the two-sample problem
  • Thais Fonseca,Covariance modeling for multivariate spatial processes based on separable approximations
  • Roberta Lima,Uncertainty quantification and cumulative distribution function: how are they related?
  • Robert NIVEN,Maximum Entropy Analysis of Flow Networks with Structural Uncertainty (Graph Ensembles)
  • Roland Preuss,Optimization employing Gaussian process-based surrogates
  • Robert NIVEN,Bayesian and Maximum Entropy Analyses of Flow Networks with Gaussian or non-Gaussian Priors, and Soft Constraints
  • Wesley Henderson,Using the Z-order curve for Bayesian model comparison.