Bayesian statistical decision theory.
概要
| 作品: | 281 作品在 126 項出版品 126 種語言 | |
|---|---|---|
書目資訊
Bayesian analysis in statistics and econometrics :essays in honor of Arnold Zellner /
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Bayesian economics through numerical methods :a guide to econometrics and decision-making with prior information /
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Bayesian economics through numerical methods :a guide to econometrics and decision-making with prior information /
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Tools for statistical inference :methods for the exploration of posterior distributions and likelihood functions /
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The Bayesian choice :from decision-theoretic foundations to computational implementation /
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Bayesian methods :an analysis for statisticians and interdisciplinary researchers /
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Subjective and objective Bayesian statistics :principles, models, and applications /
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Interpreting probability :controversies and developments in the early twentieth century /
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Measurement error and misclassification in statistics and epidemiology :impacts and Bayesian adjustments /
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Multivariate Bayesian statistics :models for source separation and signal unmixing /
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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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Contemporary Bayesian and frequentist statistical research methods for natural resource scientists /
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Bayesian economics through numerical methodsa guide to econometrics and decision-making with prior information /
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Hierarchical modelling for the environmental sciences :statistical methods and applications /
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Frontiers of statistical decision making and Bayesian analysisin 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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Advanced mapping of environmental data :geostatistics, machine learning, and Bayesian maximum entropy /
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Frontiers of statistical decision making and Bayesian analysis :in honor of James O. Berger /
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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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Financial risk management with Bayesian estimation of GARCH models :theory and applications /
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Large-scale inference :empirical Bayes methods for estimation, testing, and prediction /
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Missing data in longitudinal studiesstrategies for Bayesian modeling and sensitivity analysis /
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Decision theory models for applications in artificial intelligenceconcepts and solutions /
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Essential Bayesian models :a derivative of Handbook of statistics : Bayesian thinking - modeling and computation, vol. 25 /
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Reasoning with probabilistic and deterministic graphical models :exact algorithms /
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Tackling the inverse problem for non-autonomous systemsapplication 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 scienceslearning from examples in astronomy and physics /
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Bayesian risk managementa guide to model risk and sequential learning in financial markets /
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The manual of strategic economic decision makingusing Bayesian belief networks to solve complex problems /
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Maximizing information system availability through Bayesian belief network approachesemerging research and opportunities /
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Probabilistic finite element model updating using Bayesian statisticsapplications to aeronautical and mechanical engineering /
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Let the evidence speakusing bayesian thinking in law, medicine, ecology and other areas /
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Enhanced Bayesian network models for spatial time series predictionrecent research trend in data-driven predictive analytics /
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Bayesian networks for managing learner models in adaptive hypermedia systemsemerging research and opportunities /
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Bayesian statistics for experimental scientists :a general introduction using distribution-free methods /
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Bayesian tensor decomposition for signal processing and machine learningmodeling, tuning-free algorithms, and applications /
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Statistical modeling using Bayesian latent Gaussian modelswith applications in geophysics and environmental sciences /
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Bayesian multilevel models for repeated measures data :a conceptual and practical introduction in R /
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Bayesian nonparametric statisticsÉcole d'été de probabilités de Saint-Flour LI - 2023 /
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