Bayesian statistical decision theory.
Overview
Works: | 114 works in 56 publications in 56 languages |
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Titles
Bayesian logical data analysis for the physical sciences : = a comparative approach with Mathematica support /
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WAIC and WBIC with Python Stan = 100 exercises for building logic /
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Statistical modeling using Bayesian latent Gaussian models = with applications in geophysics and environmental sciences /
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Genomics data analysis = false discovery rates and empirical Bayes methods /
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Incremental learning for motion prediction of pedestrians and vehicles /
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Nonbayesian Decision Theory = Beliefs and Desires as Reasons for Action /
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Bayesian Nets and Causality = Philosophical and Computational Foundations
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Bayesian Networks and Influence Diagrams = A Guide to Construction and Analysis /
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Decision theory models for applications in artificial intelligence = concepts and solutions /
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Missing data in longitudinal studies = strategies for Bayesian modeling and sensitivity analysis /
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Bayesian missing data problems = EM, data augmentation and noniterative computation /
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Bayesian disease mapping = hierarchical modeling in spatial epidemiology /
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Bayesian smoothing and regression for longitudinal, spatial and event history data
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Bayesian rationality = the probabilistic approach to human reasoning /
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Bayesian networks and influence diagrams = a guide to construction and analysis /
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Approximation methods for efficient learning of Bayesian networks /
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Strategic economic decision-making = using bayesian belief networks to solve complex problems /
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A multiple-testing approach to the multivariate Behrens-Fisher problem = with simulations and examples in SAS /
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Prior processes and their applications = nonparametric Bayesian estimation /
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Bayesian bounds for parameter estimation and nonlinear filtering / tracking
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Bayesian signal processing : = classical, modern, and particle filtering methods /
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Quitting Certainties = A Bayesian Framework Modeling Degrees of Belief /
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Tackling the inverse problem for non-autonomous systems = application to the life sciences /
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Doing Bayesian data analysis = a tutorial with R, JAGS, and stan /
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Regularization and Bayesian methods for inverse problems in signal and image processing DUP_1
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Regularization and Bayesian methods for inverse problems in signal and image processing
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Introduction to hierarchical Bayesian modeling for ecological data
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Bayesian prediction and adaptive sampling algorithms for mobile sensor networks = online environmental field reconstruction in space and time /
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Prior processes and their applications = nonparametric bayesian estimation /
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The manual of strategic economic decision making = using Bayesian belief networks to solve complex problems /
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Bayesian signal processing : = classical, modern, and particle filtering methods /
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Maximizing information system availability through Bayesian belief network approaches = emerging research and opportunities /
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Bayesian risk management = a guide to model risk and sequential learning in financial markets /
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Introduction to Bayesian estimation and copula models of dependence
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Probabilistic finite element model updating using Bayesian statistics = applications to aeronautical and mechanical engineering /
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Let the evidence speak = using bayesian thinking in law, medicine, ecology and other areas /
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The impact of economic freedom on state legitimacy = an empirical investigation /
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Bayesian claims reserving methods in non-life insurance with Stan = an introduction /
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Reasoning with probabilistic and deterministic graphical models : = exact algorithms /
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Bayesian networks for managing learner models in adaptive hypermedia systems = emerging research and opportunities /
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