Bayesian statistical decision theory.
概要
| 作品: | 230 作品在 76 項出版品 76 種語言 | |
|---|---|---|
書目資訊
The manual of strategic economic decision making = using Bayesian belief networks to solve complex problems /
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Tools for statistical inference : = methods for the exploration of posterior distributions and likelihood functions /
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Bayesian inference and decision technuques : = bessays in honor of Bruno de Finetti /
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Statistical multiple integration : = proceedings of a joint summer research conference held at Humboldt University, June 17-23, 1989 /
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Subjective and objective Bayesian statistics : = principles, models, and applications /
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Bayesian economics through numerical methods = a guide to econometrics and decision-making with prior information /
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Missing data in longitudinal studies : = strategies for Bayesian modeling and sensitivity analysis /
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Frontiers of statistical decision making and Bayesian analysis = in honor of James O. Berger /
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Missing data in longitudinal studies = strategies for Bayesian modeling and sensitivity analysis /
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Basic and advanced Bayesian structural equation modeling : = with applications in the medical and behavioral sciences /
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Tackling the inverse problem for non-autonomous systems = application to the life sciences /
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Regularization and Bayesian methods for inverse problems in signal and image processing
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Bayesian methods for the physical sciences = learning from examples in astronomy and physics /
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Maximizing information system availability through Bayesian belief network approaches = emerging research and opportunities /
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Let the evidence speak = using bayesian thinking in law, medicine, ecology and other areas /
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The equation of knowledge : = from Bayes' rule to a unified philosophy of science /
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Bayesian analysis in statistics and econometrics : = essays in honor of Arnold Zellner /
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The Bayesian choice : = from decision-theoretic foundations to computational implementation /
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Applied Bayesian modeling and causal inference from incomplete-data perspectives : = an essential journey with Donald Rubin's statistical family /
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Interpreting probability = controversies and developments in the early twentieth century /
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Probabilistic methods for bioinformatics = with an introduction to Bayesian networks /
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Bayesian economics through numerical methods = a guide to econometrics and decision-making with prior information /
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Bayesian ideas and data analysis : = an introduction for scientists and statisticians /
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Bayesian missing data problems : = EM, data augmentation and noniterative computation /
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Decision theory models for applications in artificial intelligence = concepts and solutions /
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A Multiple-testing approach to the multivariate Behrens-Fisher problem : = with simulations and examples in SAS® /
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Bayesian smoothing and regression for longitudinal, spatial and event history data /
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Bayesian inference for partially identified models : = exploring the limits of limited data /
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Bayesian risk management = a guide to model risk and sequential learning in financial markets /
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Bayesian networks for managing learner models in adaptive hypermedia systems = emerging research and opportunities /
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Bayesian data analysis for the behavioral and neural sciences : = non-calculus fundamentals /
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Statistical modeling using Bayesian latent Gaussian models = with applications in geophysics and environmental sciences /
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