Bayesian inference and maximum entropy methods in science and engineering : proceedings of the 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering ; 4-9 July 2010 ; Chamonix, France /

Bayesian inference and maximum entropy methods in science and engineering : proceedings of the 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering ; 4-9 July 2010 ; Chamonix, France /

"Readership: All researchers using probability and information theory for data, signal and image processing. MaxEnt workshops are devoted to Bayesian inference and Maximum Entropy methods in sciences and engineering. This year's meeting was also encompassed all aspects of probabilistic inf...

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Bibliographic Details
Corporate Authors: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering Chamonix-Mont-Blanc, France, International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering Chamonix-Mont-Blanc, France, Centre national de la recherche scientifique (France)
Other Authors: Bercher, Jean-François, Bessière, Pierre, Mohammad-Djafari, Ali
Format: Conference Proceeding Book
Language:English
Published: Melville, N.Y. : American Institute of Physics, 2010
Melville, N.Y. : 2010
Series:AIP conference proceedings ; no. 1305
AIP conference proceedings ; no. 1305
AIP conference proceedings ; v. 1305
AIP conference proceedings Mathematical and statistical physics.
Subjects:
Bayesian statistical decision theory > Congresses
Bayesian statistical decision theory > Industrial applications > Congresses
Bayesian statistical decision theory > Scientific applications > Congresses
Maximum entropy method > Congresses
Maximum entropy method > Industrial applications > Congresses
Maximum entropy method > Scientific applications > Congresses
Bayesian statistical decision theory
Bayesian statistical decision theory > Industrial applications
Maximum entropy method
Conference papers and proceedings
Table of Contents:
  • note: TUTORIAL SESSION
  • Information Physics: The New Frontier / K. H. Knuth
  • Entropic Inference / A. Caticha
  • ORAL SESSION 1 GENERAL METHODS AND MODELS
  • Quantum Theory as Inductive Inference / R. P. Kostecki
  • Using a MaxEnt Classifier for the Automatic Content Scoring of Free-Text Responses / J. Z. Sukkarieh
  • Darwinian Model Building / R. Bontekoe
  • ORAL SESSION 2 BAYESIAN MODELS OF SENSORY MOTOR SYSTEMS
  • Bayesian Action-Perception Loop Modeling: Application to Trajectory Generation and Recognition Using Internal Motor Simulation / P. Bessiere
  • Bayesian Modeling of a Human MMORPG Player / P. Bessiere
  • Bayesian Visual Odometry / K. H. Knuth
  • Maximum Entropy Perception-Action Space: A Bayesian Model of Eye Movement Selection / B. Girard
  • POSTER SESSION 1 FOUNDATIONS
  • Adaptive Strategies in the Iterated Exchange Problem / A. Baraov
  • Deriving Proper Uniform Priors for Regression Coefficients / P. van Gelder
  • Ball Is Round / D. Kester
  • Order-theoretic Origin of Special Relativity / N. Bahrenyi
  • Non-relativistic Gravity in Entropic Quantum Dynamics / A. Catich
  • Mixture of Skewed α-Stable Distributions / A. Mohammadpour
  • Bayesian Inference for Skewed Stable Distributions / A. Mohammadpour
  • ORAL SESSION 3 ALGORITHMS FOR MAXIMUM ENTROPY AND BAYESIAN COMPUTATION
  • Evolutionary Self-adaptive Semantics / J. M. Stern
  • Entropy-based Search Algorithm for Experimental Design / K. H. Knuth
  • Nested Sampling with Constrained Hamiltonian Monte Carlo / M. Betancourt
  • ORAL SESSION 4 INFORMATION THEORY AND STATISTICAL PHYSICS
  • Information Theory of Quantum Systems with Some Hydrogenic Applications / R. J. Yanez
  • On Moments-based Heisenberg Inequalities / J. S. Dehesa
  • Rigorous Bounds for Renyi Entropies of Spherically Symmetric Potentials / J. S. Dehesa
  • Entropic Time / A. Caticha
  • On Escort Distributions, q-gaussians and Fisher Information / J.-F. Bercher
  • POSTER SESSION 2 APPLICATIONS
  • Non-extensive Radiobiology / O. Sotolongo-Costa
  • Superresolution of a Compact Neutron Spectrometer at Energies Relevant for Fusion Diagnostics / A. Zimbal
  • On Uncertainties Associated with Expected Backgrounds in Planned Experiments / V. Smirnova
  • Towards a Bayesian Seismotectonic Zoning for Use in Probabilistic Seismic Hazard Assessment (PSHA) / C. Beauval
  • Application of a Bayesian Inference Method to Reconstruct Short-range Atmospheric Dispersion Events / I. Senocak
  • Bayesian Approach to Fourier Synthesis Inverse Problem with Application in SAR Imaging / A. Mohammad-Djafari
  • Signals and Images Foreground/Background Joint Estimation and Separation / A. Mohammad-Djafari
  • Online Robot Dead Reckoning Localization Using Maximum Relative Entropy Optimization with Model Constraints / R. Urniezius
  • ORAL SESSION 4 BAYESIAN ALGORITHMS FOR MULTI-CHANNEL IMAGE ANALYSIS
  • Three-dimensional Visualization and Identification of Objects in Photon Starved Scenes Using Statistical Estimation / B. Javidi
  • Bayesian Fusion of Hyperspectral Astronomical Images / C. Collet
  • Unmixing Hyperspectral Images Using Markov Random Fields / J.-Y. Tourneret
  • Investigation of Likelihoods and Priors for Bayesian Endmember Estimation / P. Gader
  • Multichannel SAR Image Classification by Finite Mixtures, Copula Theory and Markov Random Fields / J. Zerubia
  • ORAL SESSION 5 NON-PARAMETRIC METHODS AND EXPERIMENTAL DESIGN
  • Maximum Entropies Copulas / A. Mohammad-Djafari
  • Digital Particle Image Velocimetry Using Splines in Tension / S. Gori
  • Confidence Distributions in Statistical Inference / V. Smirnova
  • ORAL SESSION 6 BAYESIAN AND MAXIMUM ENTROPY INFERENCE IN ACTION: APPLICATIONS
  • Parameter Estimation as a Problem in Statistical Thermodynamics / D. J. Schneider
  • Reinforcement Learning with Bounded Information Loss / Y. Altun
  • Bayesian Knowledge Fusion in Prognostics and Health Management: A Case Study / A. Mohammad-Djafari
  • ID Image Characterization by Entropic Biometric Decomposition / T. Fournel
  • POSTER SESSION 3 METHODS AND ALGORITHMS
  • Posterior Distribution of the Likelihood Ratio as a Measure of Evidence / A. Ferrari
  • Speed-gradient Principle for Description of Transient Dynamics in Systems Obeying Maximum Entropy Principle / A. Krivtsov
  • Generalized Maximum Entropy Principle, Superstatistics and Problem of Networks Classification / B. Gadjiev
  • Comparative Analysis of Collaboration Networks / B. Gadjiev
  • Method for Evaluating Tuning Functions of Single Neurons Based on Mutual Information Maximization / S. Glasauer
  • Gaussian Process Segmentation of Co-Moving Animals / S. Roberts
  • ORAL SESSION 7 FOUNDATIONS
  • Logarithm Ubiquity in Statistics, Information, Acoustics / M. Maurin
  • ORAL SESSION 8 MARKOVIAN PROCESSES
  • Spectral Design in Markov Random Fields / C. Bouman
  • On the Entropy of Wide Markov Chains / V. Girardin
  • ORAL SESSION 8 INFORMATION GEOMETRY AND INFORMATION THEORY
  • Geometric and Topological Invariants of the Hypothesis Space / C. C. Rodriguez
  • Geometry of Covariance Matrices and Computation of Median / F. Barbaresco
  • PAPERS ON DVD AND ONLINE ONLY
  • TUTORIAL SESSION
  • Information Physics: The New Frontier / K. H. Knuth
  • Entropic Inference / A. Caticha
  • High Up from the Ground: A Panoramic View of Inference and MaxEng / C. Rodriguez
  • Foundations of Computational Inference / J. Skilling
  • Bayesian Programming: Principle, Methodology, Tools, and Examples / P. Bessiere
  • ORAL SESSION 1 GENERAL METHODS AND MODELS
  • Model Selection for MR Studies of Stroke / J. Shimony
  • Using a MaxEnt Classifler for the Automatic Content Scoring of Free-Text Responses / J. Z. Sukkarieh
  • Darwinian Model Building / R. Bontekoe
  • ORAL SESSION 2 BAYESIAN MODELS OF SENSORY MOTOR SYSTEMS
  • Bayesian Inference with Spikes. Implication for the Neural Code, Sensory Processing and Working Memory / S. Deneve
  • Bayesian Action-Perception Loop Modeling: Application to Trajectory Generation and Recognition Using Internal Motor Simulation / P. Bessiere
  • Bayesian Modeling of a Human MMORPG Player / P. Bessiere
  • POSTER SESSION 1 FOUNDATIONS
  • Order-theoretic Origin of Special Relativity / N. Bahrenyi
  • Non-relativistic Gravity in Entropic Quantum Dynamics / A. Caticha
  • ORAL SESSION 3 ALGORITHMS FOR MAXIMUM ENTROPY AND BAYESIAN COMPUTATION
  • Evolutionary Self-adaptive Semantics / J. M. Stern
  • Entropy-based Search Algorithm for Experimental Design / K. H. Knuth
  • Nested Sampling with Constrained Hamiltonian Monte Carlo / M. Betancourt
  • ORAL SESSION 4 INFORMATION THEORY AND STATISTICAL PHYSICS
  • Entropic Time / A. Caticha
  • On Escort Distributions, q-gaussians and Fisher Information / J.-F. Bercher
  • POSTER SESSION 2 APPLICATIONS
  • On Combined Estimation of Expected Backgrounds with Statistical and Systematic Uncertainties in Planned Experiments / V. Smimova
  • ORAL SESSION 4 BAYESIAN ALGORITHMS FOR MULTI-CHANNEL IMAGE ANALYSIS
  • Bayesian Fusion of Hyperspectral Astronomical Images / C. Collet
  • Unmixing Hyperspectral Images Using Markov Random Fields / J.-Y. Tourneret
  • Investigation of Likelihoods and Priors for Bayesian Endmember Estimation / P. Gader
  • Multichannel SAR Image Classification by Finite Mixtures, Copula Theory and Markov Random Fields / J. Zerubia
  • ORAL SESSION 5 NON PARAMETRIC METHODS AND EXPERIMENTAL DESIGN
  • Maximum Entropies Copulas / A. Mohammad-Djafari
  • Digital Particle Image Velocimetry Using Splines in Tension / S. Gori
  • Confidence Distributions in Statistical Inference / V
  • Smimova
  • ORAL SESSION 6 BAYESIAN AND MAXIMUM ENTROPY INFERENCE IN ACTION: APPLICATIONS
  • Parameter Estimation as a Problem in Statistical Thermodynamics / D. J. Schneider
  • Bayesian Knowledge Fusion in Prognostics and Health Management: A Case Study / A. Mohammad-Djafari
  • ID Image Characterization by Entropic Biometric Decomposition / T. Fournel
  • ORAL SESSION 8 MARKOVIAN PROCESSES
  • Spectral Design in Markov Random Fields / C. Bouman
  • On the Entropy of Wide Markov Chains / V. Girardin
  • ORAL SESSION 8 INFORMATION GEOMETRY AND INFORMATION THEORY
  • Geometry of Covariance Matrices and Computation of Median / F. Barbaresco

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