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The Algebra of Probable Inference

https://doi.org/10.2307/1909904

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Appendix: Probability and Mathematical Concepts

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Bayesian uncertainty analysis with applications to turbulence modeling

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State of the field: Measuring information and confirmation

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Bayesian model comparison: Log scores and

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Life-cycle cost optimal design of passive dissipative devices

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Recent developments of Bayesian model class selection and applications in civil engineering

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Predicting fatigue damage in composites: A Bayesian framework

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Fast Bayesian ambient modal identification in the frequency domain, Part I: Posterior most probable value

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Fast Bayesian ambient modal identification in the frequency domain, Part II: Posterior uncertainty

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Uncertainty law in ambient modal identification—Part I: Theory

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A two-stage fast Bayesian spectral density approach for ambient modal analysis. Part I: Posterior most probable value and uncertainty

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Insights on the Bayesian spectral density method for operational modal analysis

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Fundamental two-stage formulation for Bayesian system identification, Part I: General theory

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Fast Bayesian approach for modal identification using free vibration data, Part II—Posterior uncertainty and application

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Model validity and frequency band selection in operational modal analysis

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A multilevel Bayesian method for ultrasound-based damage identification in composite laminates

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Quantifying and managing uncertainty in operational modal analysis

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Measurement as Inference: Fundamental Ideas

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A characterization of Shannon entropy through lattice questionnaires

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What is probability?

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The mathematical expression of generalized complementarity

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Dynamics of Microbial Cell Populations

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A Computational Approach to Hippocampal Function

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Important sampling in high dimensions

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Scaled Boolean algebras

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The hidden pattern

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Comments on “Constructing a logic of plausible inference: a guide to Cox’s Theorem”, by Kevin S. Van Horn

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A theory of neural computation

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