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Bayesian statistical decision theory
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The concept ** Bayesian statistical decision theory** represents the subject, aboutness, idea or notion of resources found in **University of Oklahoma Libraries**.

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Bayesian statistical decision theory
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**Bayesian statistical decision theory**represents the subject, aboutness, idea or notion of resources found in**University of Oklahoma Libraries**.- Label
- Bayesian statistical decision theory

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- A Bayesian method for evaluating trainee proficiency
- A Bayesian method for evaluating trainee proficiency
- A festschrift for Herman Rubin
- A first course in Bayesian statistical methods
- A nonlinear filtering technique for digitized images degraded by film-grain noise
- A set of examples of global and discrete optimization : applications of Bayesian Heuristic Approach
- A simple Bayes solution to a common multiple comparisons problem
- A simple approach to inference in covariance structure modeling with missing data : Bayesian analysis
- A software-resource macroestimating procedure : management information systems
- Adaptive distributed source coding based on Bayesian inference
- Adaptive learning of polynomial networks : genetic programming, backpropagation and Bayesian methods
- Adaptive learning of polynomial networks : genetic programming, backpropagation and Bayesian methods
- Advanced mapping of environmental data : geostatistics, machine learning and Bayesian maximum entropy
- Agricultural decision analysis
- An empirical bayes approach to statistics
- An empirical investigation into the distribution of Bayes' estimates
- An introduction to Bayesian analysis : theory and methods
- An introduction to Bayesian analysis : theory and methods
- An introduction to Bayesian inference in econometrics
- An introduction to decision theory
- An introduction to probability, decision, and inference
- Applied Bayesian hierarchical methods
- Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family
- Applied Bayesian modelling
- Applied Bayesian modelling
- Applied hierarchical modeling in ecology : analysis of distribution, abundance and species richness in R and BUGS, Volume 1, Prelude and static models
- Applied statistical inference : likelihood and Bayes
- Approximation methods for efficient learning of Bayesian networks
- Basic and advanced Bayesian structural equation modeling : with applications in the medical and behavioral sciences
- Basic and advanced structural equation modeling : with applications in the medical and behavioral sciences
- Bayes and Empirical Bayes methods for data analysis
- Bayes or bust? : a critical examination of Bayesian confirmation theory
- Bayes' theorem : an old tool applicable to today's classroom measurement needs
- Bayesian Epistemology :
- Bayesian Methods for Statistical Analysis
- Bayesian analysis for the social sciences
- Bayesian analysis in econometrics and statistics : essays in honor of Harold Jeffreys
- Bayesian analysis in economic theory and time series analysis : the 1977 Savage Dissertation Award theses
- Bayesian analysis made simple : an Excel GUI for WinBUGS
- Bayesian analysis of failure time data using P-Splines
- Bayesian analysis of gene expression data
- Bayesian analysis of linear models
- Bayesian analysis of stochastic process models
- Bayesian analysis of stochastic process models
- Bayesian and frequentist regression methods
- Bayesian approach to image interpretation
- Bayesian approach to image interpretation
- Bayesian approach to inverse problems
- Bayesian approach to inverse problems
- Bayesian approach to inverse problems
- Bayesian approaches to clinical trials and health care evaluation
- Bayesian approaches to clinical trials and health-care evaluation
- Bayesian approaches to detect and mitigate ground clutter mixed with weather signals
- Bayesian biostatistics
- Bayesian biostatistics
- Bayesian bounds for parameter estimation and nonlinear filtering / tracking
- Bayesian bounds for parameter estimation and nonlinear filtering/tracking
- Bayesian brain : probabilistic approaches to neural coding
- Bayesian classification theory
- Bayesian control of Markov chains
- Bayesian data analysis
- Bayesian data analysis
- Bayesian data analysis in ecology using linear models with R, BUGS, and Stan
- Bayesian decision analysis : principles and practice
- Bayesian decision problems and Markov chains
- Bayesian disease mapping : hierarchical modeling in spatial epidemiology
- Bayesian disease mapping : hierarchical modeling in spatial epidemiology
- Bayesian economics through numerical methods : a guide to econometrics and decision-making with prior information
- Bayesian economics through numerical methods : a guide to econometrics and decision-making with prior information
- Bayesian epistemology
- Bayesian essentials with R
- Bayesian estimation and experimental design in linear regression models
- Bayesian estimation and tracking : a practical guide
- Bayesian estimation methods for multidimensional models for discrete and continuous responses
- Bayesian estimation methods for multidimensional models for discrete and continuous responses with a structure on the item and person parameters
- Bayesian evaluation of informative hypotheses
- Bayesian evolutionary analysis with BEAST
- Bayesian filtering and smoothing
- Bayesian forecasting and dynamic models
- Bayesian forecasting and dynamic models
- Bayesian ideas and data analysis : an introduction for scientists and statisticians
- Bayesian inference : data evaluation and decisions
- Bayesian inference : parameter estimation and decisions
- Bayesian inference : with ecological applications
- Bayesian inference : with ecological applications
- Bayesian inference and decision techniques : essays in honor of Bruno de Finetti
- Bayesian inference for partially identified models : exploring the limits of limited data
- Bayesian inference in dynamic econometric models
- Bayesian inference in wavelet-based models
- Bayesian inference in wavelet-based models
- Bayesian inference with geodetic applications
- Bayesian inference with geodetic applications
- Bayesian item response modeling : theory and applications
- Bayesian kernel methods for the risk analysis and resilience modeling of critical infrastructure systems
- Bayesian learning for neural networks
- Bayesian logical data analysis for the physical sciences : a comparative approach with Mathematica support
- Bayesian methodology for verifying recommendations to minimize asphalt pavement distress
- Bayesian methods : a social and behavioral sciences approach
- Bayesian methods : a social and behavioral sciences approach
- Bayesian methods : an analysis for statisticians and interdisciplinary researchers
- Bayesian methods for data analysis
- Bayesian methods for ecology
- Bayesian methods for finite population sampling
- Bayesian methods for hackers : probabilistic programming and bayesian inference
- Bayesian methods for measures of agreement
- Bayesian methods for nonlinear classification and regression
- Bayesian methods for repeated measures
- Bayesian methods for statistical analysis
- Bayesian methods for structural dynamics and civil engineering
- Bayesian methods for the physical sciences : learning from examples in astronomy and physics
- Bayesian methods in cosmology
- Bayesian methods in reliability
- Bayesian methods in the search for MH370
- Bayesian missing data problems : EM, data augmentation, and noniterative computation
- Bayesian model comparison
- Bayesian model selection and statistical modeling
- Bayesian modeling in bioinformatics
- Bayesian modeling using WinBUGS
- Bayesian models : a statistical primer for ecologists
- Bayesian models for categorical data
- Bayesian models in economic theory
- Bayesian multiple target tracking
- Bayesian multiple target tracking
- Bayesian natural language semantics and pragmatics
- Bayesian nets and causality : philosophical and computational foundations
- Bayesian networks : a practical guide to applications
- Bayesian networks and influence diagrams : a guide to construction and analysis
- Bayesian networks and influence diagrams : a guide to construction and analysis
- Bayesian networks in educational assessment
- Bayesian non- and semi-parametric methods and applications
- Bayesian nonparametric data analysis
- Bayesian nonparametrics
- Bayesian nonparametrics
- Bayesian nonparametrics
- Bayesian philosophy of science : variations on a theme by the Reverend Thomas Bayes
- Bayesian phylogenetics : methods, algorithms, and applications
- Bayesian prediction and adaptive sampling algorithms for mobile sensor networks : online environmental field reconstruction in space and time
- Bayesian probability theory : applications in physical sciences
- Bayesian probability theory : applications in the physical sciences
- Bayesian process monitoring, control, and optimization
- Bayesian rationality : the probabilistic approach to human reasoning
- Bayesian reasoning and machine learning
- Bayesian reasoning in data analysis : a critical introduction
- Bayesian regression modeling with INLA
- Bayesian reliability
- Bayesian reliability analysis
- Bayesian signal processing : classical, modern, and particle filtering methods
- Bayesian signal processing : classical, modern, and particle filtering methods
- Bayesian smoothing and regression for longitudinal, spatial and event history data
- Bayesian spectrum analysis and parameter estimation
- Bayesian statistical inference
- Bayesian statistical modelling
- Bayesian statistical modelling
- Bayesian statistics : a review
- Bayesian statistics : an introduction
- Bayesian statistics and marketing
- Bayesian statistics and marketing
- Bayesian statistics in actuarial science : with emphasis on credibility
- Bayesian survival analysis
- Bayesian techniques for surface fuel loading estimation
- Bayesian theory
- Bayesian theory and applications
- Bayesian theory and methods with applications
- Bayesian thinking : modeling and computation
- Bayesian time series models
- Bayesian time series models
- Benefits of Bayesian network models
- Chain event graphs
- Clutter detection and mitigation for dual-polarization weather radar
- Coherent stress testing : a Bayesian approach to the analysis of financial stress
- Combining classification and Bayesian methods to better model drug abuse
- Contemporary Bayesian and frequentist statistical research methods for natural resource scientists
- Contemporary Bayesian econometrics and statistics
- Cooperative extensions of the Bayesian game
- Criterion-referenced testing : a critical analysis of selected models
- Current trends in Bayesian methodology with applications
- Data analysis : a Bayesian tutorial
- Decision analysis with business applications
- Decision making and imperfection
- Decision theory models for applications in artificial intelligence : concepts and solutions
- Decision theory with a human face
- Decision theory with a human face
- Decision, probability, and utility: : selected readings
- Developing a bayesian belief network model for quantifying the probability of software failure of a protection system
- Divided neighborhood exploration search for inferring gene regulatory networks
- Does government debt crowd out investment? : a Bayesian DSGE approach
- Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan
- Doing bayesian data analysis : a tutorial with R and BUGS
- Elementary Bayesian biostatistics
- Elements of Bayesian statistics
- Empirical Bayes and likelihood inference
- Error and the growth of experimental knowledge
- Estadistica bayesiana; : elementos para un curso introductorio con aplicaciones a los negocios y a la economia
- Estimation risk and optimal portfolio choice
- Evaluating Great Lakes bald eagle nesting habitat with Bayesian inference
- Financial risk management with Bayesian estimation of GARCH models : theory and applications
- Forecasting international migration in Europe : the Bayesian approach
- Forensic interpretation of glass evidence
- Foundations of Bayesianism
- Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger
- General Bayesian models for multiattribute acceptance sampling
- Generalized linear models : a Bayesian perspective
- Handbook of beta distribution and its applications
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- Identification of piecewise flexural rigidity of a prestressed concrete bridge girder
- In defence of objective Bayesianism
- Induction of models under uncertainty
- Inference, method, and decision : towards a Bayesian philosophy of science
- Integrated tracking, classification, and sensor management : theory and applications
- International migration in Europe : data, models and estimates
- Interpreting Probability : Controversies and Developments in the Early Twentieth Century
- Interpreting probability : controversies and developments in the early twentieth century
- Introduction to Bayesian scientific computing : ten lectures on subjective computing
- Introduction to Bayesian statistics
- Introduction to Bayesian statistics
- Introduction to applied Bayesian statistics and estimation for social scientists
- Introduction to hierarchical Bayesian modeling for ecological data
- Investigations in the general theory of statistical decisions
- Large-scale inference : empirical Bayes methods for estimation, testing, and prediction
- Large-scale inverse problems and quantification of uncertainty
- Large-scale inverse problems and quantification of uncertainty
- Le choix bayÃ©sien : Principes et pratique
- Le raisonnement bayÃ©sien : modÃ©lisation et infÃ©rence
- Learning Ensembled Dynamic Bayesian Networks
- Learning ensembles of Bayesian network structures using random forest techniques
- Learning ensembles of linear Gaussian networks for nonlinear and spatial data
- Likelihood, Bayesian and MCMC methods in quantitative genetics
- Likelihood, Bayesian and MCMC methods in quantitative genetics
- Machine learning : a Bayesian and optimization perspective
- Management applications of decision theory
- Markov chain Monte Carlo : innovations and applications
- Markov chain Monte Carlo : stochastic simulation for Bayesian inference / | Dani Gamerman, Hedibert Freitas Lopes
- Maximum entropy in action : a collection of expository essays
- Measurement error and misclassification in statistics and epidemiology : impacts and Bayesian adjustments
- Measuring uncertainty; : an elementary introduction to Bayesian statistics
- Methods for linking item parameters
- Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis
- Model choice in nonnested families
- Model selection and model averaging
- Modelling operational risk using Bayesian inference
- Modern spatiotemporal geostatistics
- Monte Carlo methods in Bayesian computation
- Multiscale modeling : a Bayesian perspective
- Non-Bayesian decision theory : beliefs and desires as reasons for action
- Nonlinear Bayesian estimation via solution of the Fokker-Planck equation
- Nonlinear filtering and Bayesian multi-sensor fusion using adaptive quadrature based approaches
- Nonparametric Bayesian inference in biostatistics
- Numerical Bayesian methods applied to signal processing
- Optimized Bayesian dynamic advising : theory and algorithms
- Optimized Bayesian dynamic advising : theory and algorithms
- Optimum inductive methods : a study in inductive probability, Bayesian statistics, and verisimilitude
- Perception as Bayesian inference
- Planning based on decision theory
- Political/military applications of Bayesian analysis : methodological issues
- Practical Bayesian inference : a primer for physical scientists
- Practical nonparametric and semiparametric Bayesian statistics
- Pragmatics of uncertainty
- Pratique du calcul bayÃ©sien
- Principles of statistics; : traditional and Bayesian
- Principles of uncertainty
- Prior processes and their applications : nonparametric Bayesian estimation
- Prior processes and their applications : nonparametric bayesian estimation
- Probabilistic finite element model updating using Bayesian statistics : applications to aeronautical and mechanical engineering
- Probabilistic forecasting and Bayesian data assimilation
- Probabilistic forecasting and Bayesian data assimilation
- Probabilistic methods for bioinformatics : with an introduction to Bayesian networks
- Probabilistic modeling in bioinformatics and medical informatics
- Probabilistic modeling in bioinformatics and medical informatics
- Probabilistic modelling in bioinformatics and medical informatics
- Probability matching priors : higher order asymptotics
- Probability, statistics, and decision for civil engineers
- Probability, statistics, and decision for civil engineers
- Process control system fault diagnosis : a Bayesian approach
- Rational decision and causality
- Rational decisions
- Rational descriptions, decisions, and designs
- Reasoning with probabilistic and deterministic graphical models : exact algorithms
- Recursive nonlinear estimation : a geometric approach
- Reduced rank regression : with applications to quantitative structure-activity relationships
- Reliability and risk : a Bayesian perspective
- Research and the credibility of estimates; : an appraisal tool for executives and researchers
- Resolving three important issues on measurement invariance using Bayesian Structural Equation Modeling (BSEM)
- Rethinking the foundations of statistics
- Robust Bayesian analysis
- Robust Bayesian analysis
- Robustness of Bayesian analyses
- Scientific reasoning : the Bayesian approach
- Sequential Monte Carlo methods for nonlinear discrete-time filtering
- Sequential control with incomplete information : the Bayesian approach to multi-armed bandit problems.
- Some Bayesian statistical techniques useful in estimating frequency and density
- Some Bayesian statistical techniques useful in estimating frequency and density
- Statistical and cost-benefit enhancements to the DQO process for characterization decisions
- Statistical and evolutionary analysis of biological networks
- Statistical decision theory, foundations, concepts, and methods
- Statistical multiple integration : proceedings of a joint research conference held at Humboldt University, June 17-23, 1989
- Statistical multiple integration : proceedings of a joint summer research conference held at Humboldt University, June 17-23, 1989
- Statistical tests for detecting crustal movements using Bayesian inference
- Structural equation modeling : a Bayesian approach
- Studies in Bayesian econometrics and statistics : in honor of Leonard J. Savage
- Subjective and objective Bayesian statistics : principles, models, and applications
- System and Bayesian reliability : essays in honor of Professor Richard E. Barlow on his 70th birthday
- Tackling the inverse problem for non-autonomous systems : application to the life sciences
- Temporal GIS : advanced functions for field-based applications
- Testlet Response Theory and Its Applications
- Testlet response theory and its applications
- The BUGS book : a practical introduction to Bayesian analysis
- The Bayesian choice : a decision-theoretic motivation
- The Bayesian choice : from decision-theoretic foundations to computational implementation
- The Bayesian choice : from decision-theoretic foundations to computational implementation
- The Indo-European controversy : facts and fallacies in historical linguistics
- The Oxford handbook of applied Bayesian analysis
- The anatomy of bias : how neural circuits weigh the options
- The dynamics of rational deliberation
- The economics of uncertainty
- The logic of decision
- The manual of strategic economic decision making : using Bayesian belief networks to solve complex problems
- The signal and the noise : why so many predictions fail, but some don't
- The signal and the noise : why so many predictions fail--but some don't
- The value of information updating in new product development
- The variational Bayes method in signal processing
- The virtues of Bayesian epistemology
- Theory of preliminary test and Stein-type estimation with applications
- Tools for constructing chronologies : crossing disciplinary boundaries
- Uncertain judgements : eliciting experts' probabilities
- Using publicly available information to proxy for unidentified race and ethnicity : a methodology and assessment

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