Muutke küpsiste eelistusi

Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering [Kõva köide]

Edited by (NASA Ames Research Center), Edited by (NASA Ames Research Center), Edited by (University of Illinois at Urbana-Champaign), Edited by (NASA Ames Research Center)
Teised raamatud teemal:
Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and EngineeringSuurem pilt
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780735402928.html
Märksõnad:
In these proceedings of the August 2005 conference, contributors describe their work in mathematical and statistical physics, probability theory and statistics, information theory, computational science, applications of Bayesian and maximum entropy methods in physics, space science, earth science, biology, and signal and image processing. Topics include all aspects of probabilistic inference such as techniques, applications and foundations, with applications including physics, space science, earth science, biology, imaging, communication and text analysis, graphic models and source separation. The 25 papers have been peer-reviewed, Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)

All papers were peer-reviewed. For over 25 years the MaxEnt workshops have explored Bayesian and Maximum Entropy methods in scientific, engineering, and signal processing applications. This proceedings volume covers all aspects of probabilistic inference such as techniques, applications, and foundations. Applications include physics, space science, earth science, biology, imaging, graphical models and source separation.
Preface x
John Parker Burg xii
I. TUTORIALS
Bayesics
3(22)
J. Skilling
Maximum Entropy Distributions Between Upper and Lower Bounds
25(18)
A. E. Abbas
Information Theoretical Approach for Searching Very Large Image Archives
43(10)
M. Ciucu
M. Datcu
II. RECOLLECTIONS OF E. T. JAYNES
An Appreciation of Ed Jaynes
53(14)
R. A. Howard
III. MODELS AND MODEL TESTING
Function Estimation Employing Exponential Splines
67(5)
V. Dose
R. Fischer
A Bayesian Approach to Testing for Uniformity
72(8)
D. S. Sivia
S. G. Rawlings
The ABC of Model Selection: AIC, BIC, and the New CIC
80(8)
C. C. Rodriguez
Bayesian Evidence Framework for Decision Tree Learning
88(8)
R. Chatpatanasiri
B. Kijsirikul
Density Estimation via Optimal Segmentation
96(8)
J. D. Scargle
B. W. Jackson
Stochastic Spectral Methods for Efficient Bayesian Solution of Inverse Problems
104(8)
Y. M. Marzouk
H. N. Najm
L. A. Rahn
Parameter and Structure Inference for Nonlinear Dynamical Systems
112(9)
R. D. Morris
V. N. Smelyanskiy
M. Millonas
FBST for Mixture Model Selection
121(8)
M. S. Lauretto
J. M. Stern
Marginal Likelihood Change Detection: Particle Filter Approach
129(10)
T. Matsumoto
IV. SPACE SCIENCE
A Bayesian Analysis of Extrasolar Planet Data for HD 208487
139(7)
P. C. Gregory
Bayesian Analysis of Stellar Optical Interferometer Data
146(8)
J. A. Benson
Bayesian Spectral Analysis of White Dwarf Light Curves
154(8)
R. Arnold
T. Vignaux
D. Sullivan
Searching Faint and Extended Sources in the X-ray Universe
162(11)
F. Guglielmetti
R. Fischer
P. Rosati
V. Mainieri
V. Dose
V. METHODS
Turning ON (and OFF)
173(8)
J. Skilling
Approximate Bayesian Inference by Adaptive Quantization of the Hypothesis Space
181(8)
M. Johansson
Using Nested Sampling in the Analysis of Multi-Rate Sound Energy Decay in Acoustically Coupled Rooms
189(10)
T. Jasa
N. Xiang
VI. IMAGING
Optimal Discretization Resolution in Algebraic Image Reconstruction
199(8)
B. Sharif
F. Kamalabadi
Super-Resolution and Joint Segmentation in Bayesian Framework
207(8)
F. Humblot
A. Mohammad-Djafari
Experience with Bayesian Image Based Surface Modeling
215(8)
J. C. Stutz
An Information-Theoretic Approach for Image Reconstruction: The Black and White Case
223(8)
A. Golan
A. Bhati
B. Buyuksahin
Microwave Imaging: Characterization of Unknown Dielectric or Conductive Materials
231(8)
O. Feron
B. Duchene
A. Mohammad-Djafari
Image Recovery from the Magnitude of the Fourier Transform Using a Gaussian Mixture with Hidden Potts-Markov Model
239(10)
Z. Chama
M. F. Belbachir
F. Humblot
A. Mohammad-Djafari
VII. SOURCE SEPARATION
Mean Field Approximation for BSS of Images with a Compound Hierarchical Gauss-Markov-Potts Model
249(8)
N. Bali
A. Mohammad-Djafari
Bayesian Separation of Non-Stationary Mixtures of Dependent Gaussian Sources
257(9)
D. Gencaga
E. E. Kuruoglu
A. Ertuzun
Determination of the Number of Sources in Blind Source Separation
266(8)
M. M. Ichir
A. Mohammad-Djafari
Variational Bayesian Learning for Wavelet Independent Component Analysis
274(8)
E. Roussos
S. Roberts
I. Daubechies
Maximum Entropy Guide for BSS
282(11)
J. M. Gorriz
C. G. Puntonet
E. G. Medialdea
F. Rojas
VIII. GRAPHICAL MODELS AND BAYES NETS
Learning the Structure of a Bayesian Network: An Application of Information Geometry and the Minimum Description Length Principle
293(9)
E. J. M. Lauria
Optimizing Inequality Constrained Priors in Bayesian Networks
302(8)
D. E. Holmes
Lattice Theoretic Aspects of Inference and Parameter Estimation
310(8)
J. K. Lin
Local Frame Junction Trees in SLAM
318(15)
F. O. Kuehnel
IX. ENTROPY AND INFORMATION
Maxentropic Continuous Distributions Based on the Mean and Range
333(4)
J.-J. Fernandez-Duran
M. M. Gregorio-Dominguez
Maximum Entropy Approximation
337(8)
N. Sukumar
Algorithm for Minimum Laterally-Adiabatically Reduced Fisher Information
345(10)
D. G. Collins
X. FOUNDATIONS
The Information Geometry of Space and Time
355(11)
A. Caticha
Prior Probabilities: An Information-Theoretic Approach
366(8)
P. Goyal
Generalized Maximum Entropy
374(8)
P. Cheeseman
J. Stutz
Another Look at the Canon of Plausible Inference
382(10)
A. Solana-Ortega
V. Solana
An Approach to Prior Selection
392(6)
M. Aminghafari
A. Mohammadpour
Statistically Dual Distributions and Conjugate Families
398(5)
S. I. Bityukov
N. V. Krasnikov
On Classical, Fuzzy, and Bayesian Hypothesis Testing
403(7)
A. Mohammadpour
A. Mohammad-Djafari
Introduction to the Information in Metric Space
410(11)
M. Pappalardo
XI. PHYSICS
Newton, Einstein, Jeffreys, and Bayesian Model Selection
421(10)
S. Chettri
D. Batchelor
W. Campbell
K. Balakrishnan
Bayesian Analysis of Inconsistent Measurements of Neutron Cross Sections
431(9)
K. M. Hanson
Integrated Bayesian Experimental Design
440(8)
R. Fischer
H. Dreier
A. Dinklage
B. Kurzan
E. Pasch
Errors in All Variables
448(8)
R. Preuss
V. Dose
Bayesian Estimation of Zeff in the TEXTOR Tokamak from Visible Bremsstrahlung and CXRS Measurements
456(8)
G. Verdoolaege
G. Van Oost
M. M. Ichir
A. Mohammad-Djafari
M. G. Von Hellermann
Subharmonic Solution of Quasilinear Elliptic Type PDEs of Mathematical Physics for Dissipation of Information
464(11)
E. Kiss
XII. EARTH SCIENCE
Mapping Tectonic Stress Using Earthquakes
475(8)
R. Arnold
J. Townend
T. Vignaux
Integrating Laboratory Compaction Data with Numerical Fault Models: A Bayesian Framework
483(8)
D. D. Fitzenz
A. Jalobeanu
S. H. Hickman
N. Sleep
Model Comparison of Avalanche Models
491(8)
U. von Toussaint
M. Kern
Softening a Hard Quadratic Bound to a Prior Pdf---An Example from Geomagnetism
499(10)
A. Jackson
M. Sambridge
XIII. COMMUNICATION AND TEXT ANALYSIS
Bayesian Multinomial Logistic Regression for Author Identification
509(8)
D. Madigan
A. Genkin
D. D. Lewis
D. Fradkin
Semi-Supervised Learning for Bayesian Pattern Classification
517(10)
J. L. Center, Jr.
XIV. BIOLOGY
Identifying Biomagnetic Sources in the Brain by the Maximum Entropy Approach
527(8)
H.-I. Pai
C.-Y. Tseng
H. C. Lee
Estimation of Cerebral Blood Flow from Dynamic Susceptibility Contrast MRI Using a Tissue Model
535(8)
J. S. Shimony
J. J. Lee
G. L. Bretthorst
Coping with Trial-to-Trial Variability of Event-Related Neuronal Spike Trains: A Bayesian Perspective
543(9)
A. Bollimunta
K. H. Knuth
M. Ding
PHOTOGRAPHS FROM MAXENT 2005
Group Photo 552(3)
Photographs from MaxEnt 2005 555(8)
Author Index 563