The concept of Integrated Data Analysis of complementary experiments (English)
- New search for: Fischer, R.
- New search for: Dinklage, A.
- New search for: Fischer, R.
- New search for: Dinklage, A.
- New search for: Knuth, Kevin H.
- New search for: Caticha, Ariel
- New search for: Center, Julian L.
- New search for: Giffin, Adom
- New search for: Rodríguez, Carlos C.
In:
AIP Conference Proceedings
;
954
, 1
;
195-202
;
2007
- Article (Journal) / Electronic Resource
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Title:The concept of Integrated Data Analysis of complementary experiments
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Contributors:Fischer, R. ( author ) / Dinklage, A. ( author ) / Knuth, Kevin H. ( editor ) / Caticha, Ariel ( editor ) / Center, Julian L. ( editor ) / Giffin, Adom ( editor ) / Rodríguez, Carlos C. ( editor )
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Published in:AIP Conference Proceedings ; 954, 1 ; 195-202
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Publisher:
- New search for: American Institute of Physics
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Publication date:2007-11-13
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Size:8 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 954, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
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Foundations?Skilling, John et al. | 2007
- 11
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Information and EntropyCaticha, Ariel et al. | 2007
- 23
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Lattice Theory, Measures and ProbabilityKnuth, Kevin H. et al. | 2007
- 39
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Probability and GeometrySkilling, John et al. | 2007
- 47
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Wrong PriorsRodríguez, Carlos C. et al. | 2007
- 56
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Towards a Cross‐Level Theory of Neural LearningBell, Anthony J. et al. | 2007
- 74
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Updating Probabilities with Data and MomentsGiffin, Adom / Caticha, Ariel et al. | 2007
- 85
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Bayesians Can Learn from Old DataJefferys, William H. et al. | 2007
- 93
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The Marginalization Paradox and the Formal Bayes' LawWallstrom, Timothy C. et al. | 2007
- 101
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Positive evidence for non‐arbitrary assignments of probabilityBriggs, William M. et al. | 2007
- 109
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Cellular Automata Generalized To An Inferential SystemBlower, David J. et al. | 2007
- 117
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From Maxent To Machine Learning and BackSears, Timothy D. et al. | 2007
- 125
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Induced Semantics for Undirected Graphs: Another Look at the Hammersley‐Clifford TheoremSears, Timothy D. / Sunehag, Peter et al. | 2007
- 133
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Origins of the Combinatorial Basis of EntropyNiven, Robert K. et al. | 2007
- 143
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On Shannon‐Jaynes Entropy and Fisher InformationDimitrov, Vesselin I. et al. | 2007
- 153
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The Role of Information in the Probabilistic Reconstruction of Quantum TheoryGoyal, Philip et al. | 2007
- 165
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From Information Geometry to Newtonian DynamicsCaticha, Ariel / Cafaro, Carlo et al. | 2007
- 175
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Information Geometry and Chaos on Negatively Curved Statistical ManifoldsCafaro, Carlo et al. | 2007
- 185
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Gravity from a Probabilistic Point of ViewMartin, Pete et al. | 2007
- 195
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The concept of Integrated Data Analysis of complementary experimentsFischer, R. / Dinklage, A. et al. | 2007
- 203
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Designing Intelligent InstrumentsKnuth, Kevin H. / Erner, Philip M. / Frasso, Scott et al. | 2007
- 212
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Deconvolution using thin‐plate splinesToussaint, Udo v. / Gori, Silvio et al. | 2007
- 221
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Comparison of Numerical Methods for Evidence CalculationPreuss, R. / von Toussaint, U. et al. | 2007
- 229
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Regression for Proportion DataCenter, Julian L. et al. | 2007
- 237
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Inverse covariance simplification for efficient uncertainty managementJalobeanu, A. / Gutiérrez, J. A. et al. | 2007
- 245
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Propagation of Statistical Information Through Non‐Linear Feature Extractions for Robust Speech RecognitionAstudillo, R. F. / Kolossa, D. / Orglmeister, R. et al. | 2007
- 253
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Maximum a Posteriori Maximum Entropy Signal DenoisingSeghouane, Abd‐Krim / Knockaert, Luc et al. | 2007
- 260
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FBST for Unit Root ProblemsDiniz, M. / Pereira, C. A. B. / Stern, J. M. et al. | 2007
- 268
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The Problem of Separate Hypotheses via Mixture Modelsde Souza Lauretto, Marcelo / de Faria, Silvio R. / Pereira, Basilio B. / Pereira, Carlos A. B. / Stern, Julio M. et al. | 2007
- 276
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Assigning Priors for Ordered and Bounded ParametersGoggans, Paul M. / Chan, Chung‐Yong et al. | 2007
- 283
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Bayesian Inference Featuring Entropic PriorsNeumann, Tilman et al. | 2007
- 293
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Strong Nonlinear Correlations, Conditional Entropy and Perfect EstimationJones, Christopher S. / Finn, John M. / Hengartner, Nicolas et al. | 2007
- 307
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A Bayesian re‐analysis of HD 11964: evidence for three planetsGregory, P. C. et al. | 2007
- 315
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Bayesian Analysis of RR Lyrae Luminosities and KinematicsJefferys, Thomas R. / Barnes, Thomas G. / Dambis, Andrei / Jefferys, William H. et al. | 2007
- 322
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Estimating Background SpectraTse, M. K. / Choinsky, J. / Carbon, D. F. / Knuth, K. H. et al. | 2007
- 329
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PARAMETER ESTIMATION IN ULTRASONIC MEASUREMENTS ON TRABECULAR BONEMarutyan, Karen R. / Anderson, Christian C. / Wear, Keith A. / Holland, Mark R. / Miller, James G. / Bretthorst, G. Larry et al. | 2007
- 337
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Model Selection in Ultrasonic Measurements on Trabecular BoneAnderson, Christian C. / Marutyan, Karen R. / Wear, Keith A. / Holland, Mark R. / Miller, James G. / Bretthorst, G. Larry et al. | 2007
- 346
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Computing the Probability of Local Brain Connectivity using Diffusion Tensor ImagingShimony, Joshua S. / Epstein, Adrian A. / Bretthorst, G. Larry et al. | 2007
- 354
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Generalised Skilling–Bryan Minimisation for Micro‐Rotation Imaging in Light MicroscopyLaksameethanasan, Danai / Brandt, Sami S. et al. | 2007
- 362
-
Bayesian Estimator for Angle Recovery: Event Classification and Reconstruction in Positron Emission TomographyFoudray, Angela M K / Levin, Craig S et al. | 2007
- 372
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Bayesian tomographic reconstruction of microsystemsSalem, Sofia Fekih / Vabre, Alexandre / Mohammad‐Djafari, Ali et al. | 2007
- 381
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A Nonparametric Bayesian Approach For Emission Tomography ReconstructionBarat, Éric / Dautremer, Thomas et al. | 2007
- 386
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Filter Out High Frequency Noise in EEG Data Using The Method of Maximum EntropyTseng, Chih‐Yuan / Lee, HC et al. | 2007
- 394
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Bayesian estimation of the learning effects of repeated pointing tasksKyo, Koki et al. | 2007
- 402
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Classification of Maize and Weeds by Bayesian NetworksChapron, Michel / Oprea, Alina / Sultana, Bogdan / Assemat, Louis et al. | 2007
- 410
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Separation of Stochastic and Deterministic Information from Seismological Time Series with Nonlinear Dynamics and Maximum Entropy MethodsGutiérrez, Rafael M. / Useche, Gina M. / Buitrago, Elias et al. | 2007
- 418
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Using Prior Information in Bayesian Inference—with Application to Fault DiagnosisPernestål, Anna / Nyberg, Mattias et al. | 2007
- 427
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Application of the Maximum Entropy method to estimating parameter distributions for sonar signal processingCulver, R. L. / Camin, H. J. / Ballard, J. A. / Jemmott, C. W. / Sibul, L. H. et al. | 2007
- 435
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Modeling the Multiple‐Antenna Wireless Channel Using Maximum Entropy MethodsGuillaud, M. / Debbah, M. / Moustakas, A. L. et al. | 2007
- 443
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Analysis of Intrusion Detection and Attack Proliferation in Computer NetworksRangan, Prahalad / Knuth, Kevin H. et al. | 2007
- 450
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Bayesian Extraction of Deep UV Resonance Raman Signature of Fibrillar Cross‐β Sheet Core based on H‐D Exchange DataShashilov, V. A. / Lednev, I. K. et al. | 2007
- 458
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Lessons about likelihood functions from nuclear physicsHanson, Kenneth M. et al. | 2007
- 468
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Assessment of Electron Energy Distributions in Discharges by Optical Emission SpectroscopyDodt, Dirk / Dinklage, Andreas / Fischer, Rainer / Preuss, Roland et al. | 2007
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Back Matter for Volume 954| 2007
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Front Matter for Volume 954| 2007