MaxEnt 2005 Program Information [Sun] [Mon] [Mon.Posters] [Tue] [Tue.Posters] [Wed] [Thu] [Fri] Sunday August 7, 2005  9:00  5:45 Registration Tutorials 10:00 11:30 John Skilling Bayesics 11:30  1:00 Lunch  1:00  2:30 Kevin Knuth Probability and Entropy: Statements and Questions  2:30  3:00 Break  3:00  4:00 Larry Bretthorst Bayesian Probability Theory and Markov Chain Monte Carlo  4:00  4:30 Break  4:30  5:45 Mihai Datcu Information-Theory Based Inference and Applications for Data Massives Welcome Reception  5:45  8:00 in the University Room [Sun] [Mon] [Mon.Posters] [Tue] [Tue.Posters] [Wed] [Thu] [Fri] Monday August 8, 2005 8:00 5:45 Registration Opening Session  8:45  9:15 Welcome  9:15  9:45 Thomas Cover, Invited Speaker Opening Remarks  9:45 10:45 John Burg, Honored Speaker Baubles, Bangles and Beads 10:45 11:15 Break Session: Models and Model Testing I 11:15 11:40 Volker Dose Nonparametric Function Estimation 11:45 12:10 Devinder Sivia Testing for Uniformity 12:15  1:45 Lunch Session: Models and Model Testing II  1:45  2:45 David Draper, Invited Speaker Bayesian Model Specification  2:45  3:10 Carlos Rodriguez The ABC of Model Selection: AIC, BIC, and the new CIC  3:15  3:40 Ratthachat Chatpatanasiri Bayesian Evidence Framework for Decision Tree Learning  3:45  4:15 Break  4:15  4:40 Raquel Prado Modeling and Classification of Multiple Time Series via Hierarchical Mixture of Autoregressions  4:45  5:10 Jeff Scargle Density Estimation via Optimal Segmentation  5:15  5:40 Youssef Marzouk Stochastic Spectral Methods for Efficient Bayesian Solution of Inverse Problems  5:40  6:00 Break [Sun] [Mon] [Mon.Posters] [Tue] [Tue.Posters] [Wed] [Thu] [Fri] Poster Session I  6:00  8:00 in the University Room Mina Aminghafari An Approach to Prior Selection Anil Bollimunta Bayesian Approach for Estimating Amplitude and Latency Variability in Neuronal Spike Trains Dennis Collins Algorithm for Minimum Laterally Adiabatically-Reduced Fisher Information Michael DeRouen Bayesian Calibration of a High Speed 3D Laser Ranging System Ahmed Douiak Bayesian Maximum Entropy and Kriging Methods for Spatio-Temporal Mapping of Soil Salinity Juan Manuel Gorriz Maximum Entropy Guide for BSS Fabrizia Guglielmetti Mixture Modeling and the Search for Faint and Extended Sources in the X-Ray Universe Shahram Hosseini Maximum Likelihood Separation of Spatially Auto-Correlated Images Using a Markov Model Mathias Johansson Approximate Bayesian Inference by Adaptive Quantization of the Hypothesis Space Adel Mohammadpour On Classical, Bayesian, and Fuzzy Hypothesis Testing Robin Morris Parameter and Structure Inference for Nonlinear Dynamical Systems Evangelos Roussos Variational Bayesian Learning for Wavelet Independent Component Analysis Nikita Sakhanenko Understanding Physics from Interconnected Data Julio Stern FBST for Mixture Model Selection Geert Verdoolaege Bayesian Estimation of Zeff in the Textor Tokomak from Visible Bremsstrahlung and CXRS Measurements [Sun] [Mon] [Mon.Posters] [Tue] [Tue.Posters] [Wed] [Thu] [Fri] Tuesday August 9, 2005 8:00 5:45 Registration Session: Space Science and Astrobiology  8:45  9:45 Chris McKay, Invited Speaker What is Life, and How do we Search for it on Other Worlds?  9:45 10:10 Phil Gregory Bayesian Extra-Solar Planet Detection 10:15 10:40 James Benson Bayesian Analysis of Stellar Optical Interferometer Data 10:45 11:15 Break Session: Methods 11:15 12:15 John Skilling, Invited Speaker Turning ON (and OFF) 12:15  1:30 Lunch Session: Imaging  1:30  1:55 Behzad Sharif Optimal Discretization Resolution in Algebraic Image Reconstruction  2:00  2:25 Fabrice Humblot Super-Resolution Using Hierarchical Hidden Markov Models and Bayesian Estimation Framework  2:30  2:55 John Stutz Experience with Bayesian Image Based Surface Modeling  3:00  3:25 Amos Golan An Information-Theoretic Approach for Estimation and Image Reconstruction  3:30  4:00 Break  4:00  4:25 Olivier Feron Microwave Imaging:  Characterization of Unknown Dielectric or Conductive Materials  4:30  4:55 Chris Kroenke Modeling Axonal Connectivity in Primate Brain from Diffusion-Weighted MRI Data Session: Source Separation  5:00  5:25 Nadia Bali Mean Field Approximation for BSS of Images with a Compound Hierarchical Gauss-Markov-Potts Model  5:30  5:55 Deniz Gencaga Bayesian Separation of Non-Stationary Mixtures of Dependent Gaussian Sources [Sun] [Mon] [Mon.Posters] [Tue] [Tue.Posters] [Wed] [Thu] [Fri] Poster Session II  6:00  8:00 in the University Room Sergey I. Bityukov Statistically Dual Distributions and Conjugate Families Zouaoui Chama Mixture of Gauss-Markov with Hidden Potts-Markov Random Field Models for Image Recovery from the Fourier Transform Magnitude Anthony Gotera Estimating Mutual Information from Data with Error Bars Mahieddine Ichir Determination of the Number of Components in a Blind Source Separation Problem Andrew Jackson Softening a Hard Bound to a Prior PDF -- a Problem in Geomagnetism Tomaslav Jasa Using Nested Sampling in the Analysis of Multi-Rate Decay with Applications to Acoustics of Coupled Rooms Endre Kiss Subharmonic Solution of Quasilinear Elliptic Type PDEs of Mathematical Physics for Dissipation of Information Takashi Matsumoto Sequential Marginal Likelihood Change Detection:  Sequential Monte Carlo Approach Adel Mohammadpour Segmentation of Hyperspectral Images Michele Pappalardo Introduction to the Information in Metric Space Roland Preuss Errors in All Variables Dieter Sibold Deconvolution of Bonner Sphere Detector Data Using Bayesian Inference Tony Vignaux Bayesian Spectral Analysis of White Dwarf Light Curves [Sun] [Mon] [Mon.Posters] [Tue] [Tue.Posters] [Wed] [Thu] [Fri] Wednesday August 10, 2005  8:00  5:45 Registration Session: Graphical Models and Bayes Nets  8:45  9:45 Mike West, Invited Speaker Sparse Model Structures & Stochastic Computation for High-Dimensional Multivariate Analysis  9:45 10:10 Eitel Lauria Learning the Structure of a Bayesian Network:  An Application of Information Geometry and the Minimum Description Length Principle 10:15 10:40 Dawn Holmes Optimizing Inequality Constrained Priors in Bayesian Networks 10:45 11:15 Break 11:15 11:40 Juan Lin Lattice Theoretic Aspects of Inference and Parameter Estimation 11:45 12:10 Frank Kuehnel Local Frame Junction Trees in SLAM and Surface Inference 12:15  1:30 Lunch Session: Entropy  1:45  2:10 Juan Jose Fernandez Duran Bayesian and Maximum Entropy Inference for the Mean and Standard Deviation of a Population when only the Sample Size, Mean and Range are Observed  2:15  2:40 N. Sukumar Maximum Entropy Approximation  2:45  3:15 Ron Howard, Invited Speaker Recollections of Ed Jaynes (photo)  3:15  4:15 Break Excursion to Monterey  4:15 sharp! Buses leave Fairmont Hotel for the Monterey Bay Aquarium  5:30  7:00 Free time in Monterey  7:00 10:30 Banquet Dinner at Monterey Bay Aquarium 11:30 approx Buses return to the Fairmont Hotel [Sun] [Mon] [Mon.Posters] [Tue] [Tue.Posters] [Wed] [Thu] [Fri] Thursday August 11, 2005  8:00  5:45 Registration Session: Foundations  8:45  9:45 Chris Fuchs, Invited Speaker Being Bayesian in a Quantum World  9:45 10:10 Ariel Caticha The Information Geometry of Space and Time 10:15 10:40 Philip Goyal Prior Probabilities: An Information-Theoretic Approach 10:45 11:15 Break 11:15 11:40 Peter Cheeseman Generalized Maximum Entropy 11:45 12:10 Alberto Solana-Ortega Another Look at the Canon of Plausible Inference 12:15  1:45 Lunch Session: Physics  1:45  2:10 Samir Chettri Newton, Einstein, Jeffreys and Bayesian Model Selection  2:15  2:40 Ken Hanson Bayesian Analysis of Inconsistent Measurements of Neutron Cross Sections  2:45  3:10 Rainer Fischer Integrated Bayesian Experimental Design  3:15  3:40 Roland Preuss Errors in All Variables  3:45  4:15 Break Session: Earth Science  4:15  4:40 Richard Arnold Mapping Tectonic Stress Using Earthquakes  4:45  5:10 Norman Sleep Integrating Laboratory Compaction Data with Seismogenesis Models:  A Bayesian Framework  5:15  5:40 Udo von Toussaint Model Comparison of Constitutive Laws of Snow Avalanches [Sun] [Mon] [Mon.Posters] [Tue] [Tue.Posters] [Wed] [Thu] [Fri] Friday August 12, 2005  8:00 12:00 Registration Session: Communication and Text Analysis  8:45  9:10 Mihai Datcu Bayesian Modeling for Semantic Communication  9:15  9:40 Alexander Genkin Bayesian Multinomial Logistic Regression for Author Identification  9:45 10:10 Julian Center Semi-supervised Learning for Bayesian Pattern Classification 10:15 10:45 Break Session: Biology 10:45 11:10 Hong-Yi Bai Identifying Biomagnetic Sources in the Brain by Maximum Entropy Approach 11:15 11:40 Andy Prantner Compartment-specific Water Apparent-diffusion Coefficients in Mammalian Brain 11:45 12:10 Josh Shimony Estimation of Cerebral Blood Flow from Dynamic Susceptibility Contrast MRI using a Tissue Model Business Meeting 12:15 12:45 Organizers Meeting [Sun] [Mon] [Mon.Posters] [Tue] [Tue.Posters] [Wed] [Thu] [Fri]