A propos
34^{th} International Workshop on
Bayesian Inference and Maximum Entropy
Methods in Science and Engineering
2126 september 2014, Château Clos Lucé, Parc Leonardo Da Vinci, Amboise, France
The workshop includes a oneday tutorial session, stateoftheart invited lectures and contributed papers and poster presentations. All accepted papers will be published in a conference series book by American Institut of physics. Selected papers by the program committee may be edited and published in a book or in special issue of a journal.
Important dates
 16th of May 2014 : Abstract submission & preregistration
 15th of June 2014 : Selection of paper and Registration
 September 1, Registration due
 15th of September Final paper submission
 15th of October paper for publication in AIP conference Proceedings
Tutorials

Modern Probability Theory, Kevin H. Knuth

The Basics of Information Geometry, Ariel Caticha

Voronoi diagrams in information geometry, Franck Nielsen

Foundations and Geometry, John Skilling

Uncertainty quantification for computer model, Udo V. Toussaint

Geometric Structures Induced From Divergence Functions, Jun Zhang

Koszul Information Geometry and Souriau Lie Group Thermodynamics, Frédéric Barbaresco

Bayesian and Information Geometry in signal processing, Ali MohammadDjafari
Documents
Foundations and Geometry 
Koszul Information Geometry & Souriau Lie Group Thermodynamics Frédéric Barbaresco 
Koszul Information Geometry and Souriau Lie Group Thermodynamics 
Bayesian and Information Geometry in signal processing 
MaxEnt’14, The 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering Frédéric Barbaresco 
Triangulating Statistical Manifolds 
From Almost Gaussian to Gaussian 
Koszul Information Geometry & Souriau Lie Group 4Thermodynamics Frédéric Barbaresco 
Koszul Information Geometry and Souriau Lie Group Thermodynamics 
Cluster Analysis 
Contrast enhancement in polarimetric imaging with correlated noise flucutations 
TIB parametrization of signal processing 
Signal analysis of NEMS sensors at the output of a chromatography column 
Foliations in Information Geometry Robert Wolak, Michel Nguiffo Boyom 
Fisher Information Geometry of the Barycenter Map 
Entropy and Integral Geometry on Motion Spaces 
Shannon’s Formula and Hartley’s Rule: A Mathematical Coincidence? 
CognitiveConstructivism, Quine, Dogmas of Empiricism, and Muenchhausen’s Trilemma 
NonNegative Matrix Factorization and Term Structure of Interest Rates 
Information Criterion for Selection of Ubiquitous Factors 
Robust Burg Estimation of stationary autoregressive mixtures covariance 
Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure 
Most Likely Maximum Entropy for Population Analysis: a case study in decompression sickness prevention 
Comparing Entropy and Energy Goodnessoffit test for Lévy Distribution 
Variational Bayesian Approach with a heavytailed prior distribution for solving a nonlinear inverse scattering problem 
Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering 
Bayesian Reconstruction in Lévy Distribution 
A Bayesian Analysis Of Kepler2b Using The EXONEST Algorithm 
TFBS Prediction with Stochastic Differential Equation and Time Series 
Entropybased goodnessoffit test for positive stable distribution 
On coarse graining of information and its application to pattern recognition 
The MaxEnt extension of a quantum Gibbs family, convex geometry and geodesics 
Beyond LandauPollak and entropic inequalities: geometric bounds imposed on uncertainties sum 
Auteurs
Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering 
Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure 
Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering 
Robust Burg Estimation of stationary autoregressive mixtures covariance 
On coarse graining of information and its application to pattern recognition 
Bayesian and Information Geometry in signal processing 
Variational Bayesian Approach with a heavytailed prior distribution for solving a nonlinear inverse scattering problem 
Triangulating Statistical Manifolds 
A Bayesian Analysis Of Kepler2b Using The EXONEST Algorithm 
Variational Bayesian Approach with a heavytailed prior distribution for solving a nonlinear inverse scattering problem 
Entropy and Integral Geometry on Motion Spaces 
Signal analysis of NEMS sensors at the output of a chromatography column 
Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure 
From Almost Gaussian to Gaussian 
Signal analysis of NEMS sensors at the output of a chromatography column 
Triangulating Statistical Manifolds 
Signal analysis of NEMS sensors at the output of a chromatography column 
Entropy and Integral Geometry on Motion Spaces 
Beyond LandauPollak and entropic inequalities: geometric bounds imposed on uncertainties sum 
Variational Bayesian Approach with a heavytailed prior distribution for solving a nonlinear inverse scattering problem 
Information Criterion for Selection of Ubiquitous Factors 
NonNegative Matrix Factorization and Term Structure of Interest Rates 
Fisher Information Geometry of the Barycenter Map 
Bayesian Reconstruction in Lévy Distribution 
Triangulating Statistical Manifolds 
Cluster Analysis 
Foundations and Geometry 
Shannon’s Formula and Hartley’s Rule: A Mathematical Coincidence? 
Contrast enhancement in polarimetric imaging with correlated noise flucutations 
A Bayesian Analysis Of Kepler2b Using The EXONEST Algorithm 
Signal analysis of NEMS sensors at the output of a chromatography column 
Variational Bayesian Approach with a heavytailed prior distribution for solving a nonlinear inverse scattering problem 
Most Likely Maximum Entropy for Population Analysis: a case study in decompression sickness prevention 
Entropybased goodnessoffit test for positive stable distribution 
Most Likely Maximum Entropy for Population Analysis: a case study in decompression sickness prevention 
Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering 
Beyond LandauPollak and entropic inequalities: geometric bounds imposed on uncertainties sum 
Comparing Entropy and Energy Goodnessoffit test for Lévy Distribution 
From Almost Gaussian to Gaussian 
Contrast enhancement in polarimetric imaging with correlated noise flucutations 
Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering 
Foliations in Information Geometry Robert Wolak, Michel Nguiffo Boyom 
Comparing Entropy and Energy Goodnessoffit test for Lévy Distribution 
TFBS Prediction with Stochastic Differential Equation and Time Series 
Fisher Information Geometry of the Barycenter Map 
TFBS Prediction with Stochastic Differential Equation and Time Series 
Signal analysis of NEMS sensors at the output of a chromatography column 
From Almost Gaussian to Gaussian 
Shannon’s Formula and Hartley’s Rule: A Mathematical Coincidence? 
Beyond LandauPollak and entropic inequalities: geometric bounds imposed on uncertainties sum 
Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering 
Signal analysis of NEMS sensors at the output of a chromatography column 
Triangulating Statistical Manifolds 
Foliations in Information Geometry Robert Wolak, Michel Nguiffo Boyom 
Entropybased goodnessoffit test for positive stable distribution 
Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure 
Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure 
Beyond LandauPollak and entropic inequalities: geometric bounds imposed on uncertainties sum 
The MaxEnt extension of a quantum Gibbs family, convex geometry and geodesics 
Contrast enhancement in polarimetric imaging with correlated noise flucutations 
Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure 
Beyond LandauPollak and entropic inequalities: geometric bounds imposed on uncertainties sum 
TIB parametrization of signal processing 
Most Likely Maximum Entropy for Population Analysis: a case study in decompression sickness prevention 
Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure 
Media
Lieu
Château du Clos Lucé, Amboise (France)
Parc Leonardo Da Vinci