Maximum-Entropy and Bayesian Methods in Inverse Problems by C.R. SmithMaximum-Entropy and Bayesian Methods in Inverse Problems by C.R. Smith

Maximum-Entropy and Bayesian Methods in Inverse Problems

byC.R. SmithEditorW.t. Grandy Jr.

Paperback | December 30, 2010

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This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982. The workshops were organized to bring together researchers from different fields to critically examine maxi­ mum-entropy and Bayesian methods in science, engineering, medicine, oceanography, economics, and other disciplines. An effort was made to maintain an informal environment where ideas could be easily <_xchanged.20_that20_the20_workshops20_were20_at20_least20_partially20_successful20_is20_borne20_out20_by20_the20_fact20_that20_there20_have20_been20_two20_succeeding20_workshops2c_20_and20_the20_upcoming20_fifth20_workshop20_promises20_to20_be20_the20_largest20_of20_all.20_these20_workshops20_and20_their20_proceedings20_could20_not20_have20_been20_brought20_to20_their20_final20_form20_without20_the20_substantial20_help20_of20_a20_number20_of20_people.20_the20_support20_of20_david20_hofmann2c_20_the20_past20_chairman2c_20_and20_glen20_rebka2c_20_jr.20_2c_20_the20_present20_chairman20_of20_the20_physics20_department20_of20_the20_university20_of20_wyoming2c_20_has20_been20_strong20_and20_essential.20_glen20_has20_taken20_a20_special20_interest20_in20_seeing20_that20_the20_proceedings20_have20_received20_the20_support20_required20_for20_their20_complec2ad_20_tion.20_the20_financial20_support20_of20_the20_office20_of20_university20_research20_funds2c_20_university20_of20_wyoming2c_20_is20_gratefully20_acknowledged.20_the20_secretarial20_staff2c_20_in20_particular20_evelyn20_haskell2c_20_janice20_gasaway2c_20_and20_marce20_mitchum2c_20_of20_the20_university20_of20_wyoming20_physics20_department20_has20_contributed20_a20_great20_number20_of20_hours20_in20_helping20_c.20_ray20_smith20_organize20_and20_direct20_the20_workshops. that="" the="" workshops="" were="" at="" least="" partially="" successful="" is="" borne="" out="" by="" fact="" there="" have="" been="" two="" succeeding="" _workshops2c_="" and="" upcoming="" fifth="" workshop="" promises="" to="" be="" largest="" of="" all.="" these="" their="" proceedings="" could="" not="" brought="" final="" form="" without="" substantial="" help="" a="" number="" people.="" support="" david="" _hofmann2c_="" past="" _chairman2c_="" glen="" _rebka2c_="" jr.="" _2c_="" present="" chairman="" physics="" department="" university="" _wyoming2c_="" has="" strong="" essential.="" taken="" special="" interest="" in="" seeing="" received="" required="" for="" _complec2ad_="" tion.="" financial="" office="" research="" _funds2c_="" gratefully="" acknowledged.="" secretarial="" _staff2c_="" particular="" evelyn="" _haskell2c_="" janice="" _gasaway2c_="" marce="" _mitchum2c_="" wyoming="" contributed="" great="" hours="" helping="" c.="" ray="" smith="" organize="" direct="">
Title:Maximum-Entropy and Bayesian Methods in Inverse ProblemsFormat:PaperbackDimensions:492 pages, 21.6 × 14 × 0.1 inPublished:December 30, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9048184185

ISBN - 13:9789048184187

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Table of Contents

Incomplete Information and Generalized Inverse Problems.- Where Do We Go from Here?.- to Minimum-Cross-Entropy Spectral Analysis of Multiple Signals.- On an Alleged Breakdown of the Maximum-Entropy Principle.- Algorithms and Applications.- Estimating Occurrence Laws with Maximum Probability, and the Transition to Entropic Estimators.- Fundamentals of Seismic Exploration.- Applied Seismology.- Spectral Analysis and Time Series Models: A Geophysical Perspective.- Absolute Power Density Spectra.- The Entropy of an Image.- A Review of the Problem of Spontaneous Line Splitting in Maximum Entropy Power Spectral Analysis.- Application of Two-Channel Prediction Filtering to the Recursive Filter Design Problem.- Application of Maximum Entropy and Bayesian Optimization Methods to Image Reconstruction from Projections.- Multivariate Extensions of Maximum Entropy Methods.- Inductive Inference and the Maximum Entropy Principle.- Toward a General Theory of Inductive Inference.- Generalized Scattering.- Detection for Active Sonars by Means of Autoregressive Noise Modeling.- Application of Autoregressive Models to the Doppler Sonar Problem.- Maximum-Entropy and Data-Adaptive Procedures in the Investigation of Ocean Waves.- Entropy and Search Theory.- Maximal Entropy in Fluid and Plasma Turbulence: A Review.- Estimation of the Boundary of an Inclusion of Known Material from Scattering Data.- Vertices of Entropy in Economic Modeling.