Bayesian statistical decision theory.
Overview
| Works: | 281 works in 126 publications in 126 languages | |
|---|---|---|
Titles
Bayesian analysis in statistics and econometrics :essays in honor of Arnold Zellner /
by:
(Language materials, printed)
Bayesian analysis in econometrics and statistics :the Zellner view and papers /
by:
(Language materials, printed)
Bayesian economics through numerical methods :a guide to econometrics and decision-making with prior information /
by:
(Language materials, printed)
Bayesian economics through numerical methods :a guide to econometrics and decision-making with prior information /
by:
(Language materials, printed)
Tools for statistical inference :methods for the exploration of posterior distributions and likelihood functions /
by:
(Language materials, printed)
The Bayesian choice :from decision-theoretic foundations to computational implementation /
by:
(Language materials, printed)
Markov chain Monte Carlo :stochastic simulation for Bayesian inference /
by:
(Language materials, printed)
Bayesian methods :an analysis for statisticians and interdisciplinary researchers /
by:
(Language materials, printed)
Subjective and objective Bayesian statistics :principles, models, and applications /
by:
(Language materials, printed)
Bayesian approaches to clinical trials and health care evaluation /
by:
(Language materials, printed)
Interpreting probability :controversies and developments in the early twentieth century /
by:
(Language materials, printed)
Measurement error and misclassification in statistics and epidemiology :impacts and Bayesian adjustments /
by:
(Language materials, printed)
Multivariate Bayesian statistics :models for source separation and signal unmixing /
by:
(Language materials, printed)
Applied Bayesian modeling and causal inference from incomplete-data perspectives :an essential journey with Donald Rubin's statistical family /
by:
(Language materials, printed)
Bayesian Networks and Influence Diagrams :A Guide to Construction and Analysis /
by:
(Electronic resources)
Bayesian networks and influence diagrams :a guide to construction and analysis /
by:
(Language materials, printed)
Contemporary Bayesian and frequentist statistical research methods for natural resource scientists /
by:
(Language materials, printed)
Tools for constructing chronologies :crossing disciplinary boundaries /
by:
(Language materials, printed)
Bayesian nets and causality :philosophical and computational foundations /
by:
(Language materials, printed)
Markov chain Monte Carlo :stochastic simulation for Bayesian inference /
by:
(Language materials, printed)
Probabilistic methods for bioinformaticswith an introduction to Bayesian networks /
by:
(Electronic resources)
Bayesian economics through numerical methodsa guide to econometrics and decision-making with prior information /
by:
(Electronic resources)
Hierarchical modelling for the environmental sciences :statistical methods and applications /
by:
(Language materials, printed)
Frontiers of statistical decision making and Bayesian analysisin honor of James O. Berger /
by:
(Electronic resources)
Missing data in longitudinal studies :strategies for Bayesian modeling and sensitivity analysis /
by:
(Language materials, printed)
Advanced mapping of environmental data :geostatistics, machine learning, and Bayesian maximum entropy /
by:
(Language materials, printed)
Frontiers of statistical decision making and Bayesian analysis :in honor of James O. Berger /
by:
(Language materials, printed)
Bayesian ideas and data analysis :an introduction for scientists and statisticians /
by:
(Language materials, printed)
Bayesian missing data problems :EM, data augmentation and noniterative computation /
by:
(Language materials, printed)
Financial risk management with Bayesian estimation of GARCH models :theory and applications /
by:
(Language materials, printed)
Large-scale inference :empirical Bayes methods for estimation, testing, and prediction /
by:
(Language materials, printed)
Missing data in longitudinal studiesstrategies for Bayesian modeling and sensitivity analysis /
by:
(Electronic resources)
Bayesian missing data problemsEM, data augmentation and noniterative computation /
by:
(Electronic resources)
Bayesian smoothing and regression for longitudinal, spatial and event history data
by:
(Electronic resources)
Decision theory models for applications in artificial intelligenceconcepts and solutions /
by:
(Electronic resources)
Essential Bayesian models :a derivative of Handbook of statistics : Bayesian thinking - modeling and computation, vol. 25 /
by:
(Language materials, printed)
Reasoning with probabilistic and deterministic graphical models :exact algorithms /
by:
(Language materials, printed)
Tackling the inverse problem for non-autonomous systemsapplication to the life sciences /
by:
(Electronic resources)
Regularization and Bayesian methods for inverse problems in signal and image processing
by:
(Electronic resources)
Bayesian methods for the physical scienceslearning from examples in astronomy and physics /
by:
(Electronic resources)
Bayesian prediction and adaptive sampling algorithms for mobile sensor networksonline environmental field reconstruction in space and time /
by:
(Electronic resources)
Bayesian data analysis in ecology using linear models withR, Bugs, and Stan
by:
(Electronic resources)
Prior processes and their applicationsnonparametric bayesian estimation /
by:
(Electronic resources)
Bayesian risk managementa guide to model risk and sequential learning in financial markets /
by:
(Electronic resources)
The manual of strategic economic decision makingusing Bayesian belief networks to solve complex problems /
by:
(Electronic resources)
Bayesian signal processingclassical, modern, and particle filtering methods /
by:
(Electronic resources)
Maximizing information system availability through Bayesian belief network approachesemerging research and opportunities /
by:
(Electronic resources)
Probabilistic finite element model updating using Bayesian statisticsapplications to aeronautical and mechanical engineering /
by:
(Electronic resources)
Let the evidence speakusing bayesian thinking in law, medicine, ecology and other areas /
by:
(Electronic resources)
The impact of economic freedom on state legitimacyan empirical investigation /
by:
(Electronic resources)
Bayesian claims reserving methods in non-life insurance with Stanan introduction /
by:
(Electronic resources)
Introduction to Bayesian estimation and copula models of dependence /
by:
(Language materials, printed)
Statistical rethinking :a Bayesian course with examples in R and Stan /
by:
(Language materials, printed)
Likelihood and Bayesian inferencewith applications in biology and medicine /
by:
(Electronic resources)
Enhanced Bayesian network models for spatial time series predictionrecent research trend in data-driven predictive analytics /
by:
(Electronic resources)
Bayesian networks for managing learner models in adaptive hypermedia systemsemerging research and opportunities /
by:
(Electronic resources)
Case studies in applied Bayesian data scienceCIRM Jean-Morlet Chair, Fall 2018 /
by:
(Electronic resources)
Applied hierarchical modeling in ecology.analysis of distribution, abundance and species richness in R and BUGS /Volume 1,Prelude and static models
by:
(Electronic resources)
Nonparametric Bayesian learning for collaborative robot multimodal introspection
by:
(Electronic resources)
Development of clinical decision support systems using Bayesian networkswith an example of a multi-disciplinary treatment decision for laryngeal cancer /
by:
(Electronic resources)
Introduction to Bayesian methods in ecology and natural resources /
by:
(Language materials, printed)
Using R for Bayesian spatial and spatio-temporal health modeling /
by:
(Language materials, printed)
Likelihood and Bayesian inference :with applications in biology and medicine /
by:
(Language materials, printed)
Variational methods for machine learning with applications to deep networks
by:
(Electronic resources)
Modelling spatial and spatial-temporal data :a Bayesian approach /
by:
(Language materials, printed)
Bayesian statistics for experimental scientists :a general introduction using distribution-free methods /
by:
(Language materials, printed)
Genomics data analysisfalse discovery rates and empirical Bayes methods /
by:
(Electronic resources)
Test data engineeringlatent rank analysis, biclustering, and Bayesian network /
by:
(Electronic resources)
Bayesian tensor decomposition for signal processing and machine learningmodeling, tuning-free algorithms, and applications /
by:
(Electronic resources)
Bayesian real-time system identificationfrom centralized to distributed approach /
by:
(Electronic resources)
Statistical modeling using Bayesian latent Gaussian modelswith applications in geophysics and environmental sciences /
by:
(Electronic resources)
Bayesian nonparametric methods for missing data and causal inference /
by:
(Language materials, printed)
Bayesian multilevel models for repeated measures data :a conceptual and practical introduction in R /
by:
(Language materials, printed)
Bayesian filter design for computational medicinea state-space estimation framework /
by:
(Electronic resources)
Bayesian nonparametric statisticsÉcole d'été de probabilités de Saint-Flour LI - 2023 /
by:
(Electronic resources)
Machine learning :from the classics to deep networks, transformers, and diffusion models /
by:
(Language materials, printed)
Show more
Fewer
Subjects