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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 Missouri Libraries**.

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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 Missouri Libraries**.- Label
- Bayesian statistical decision theory

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- A Bayesian approach to item calibration and evaluation of parameter drift
- A Bayesian method for evaluating trainee proficiency
- A Bayesian nonparametric approach to reliability
- A Bayesian test for increasing failure rate
- A First Course in Bayesian Statistical Methods
- A comparison of the Bayesian and frequentist approaches to estimation
- A first course in Bayesian statistical methods
- A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting
- A multiple-testing approach to the multivariate Behrens-Fisher problem : with simulations and examples in SASÂ®
- A reconciliation of the information and posterior probability criteria for model selection
- A sequential classification procedure (empirical Bayes approach)
- A software-resource macroestimating procedure : management information systems
- Adaptive learning of polynomial networks : genetic programming, backpropagation and Bayesian methods
- Agricultural decision analysis
- An approach for fast score computation in Bayesian Network Structure Learning over Large-Scale Distributed Data
- An influence diagnostic, selection criteria, and a bayesian multiple comparison procedure for mixed models
- An introduction to Bayesian analysis : theory and methods
- An introduction to Bayesian analysis : theory and methods
- An introduction to Bayesian inference and decision
- An introduction to Bayesian inference in econometrics
- An introduction to Bayesian statistical decision processes
- An introduction to probability, decision, and inference
- Applications of bayesian methods to arthritis research
- Applied Bayesian forecasting and times series analysis
- 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 Bayesian modelling
- Applied Bayesian statistics : with R and OpenBUGS examples
- Applied Bayesian statistics : with R and OpenBUGS examples
- Applied statistical inference : likelihood and Bayes
- Approximation for Bayesian ability estimation
- Assessing single- and dual-process accounts of recognition memory using hierarchical Bayesian models
- Assessing the quality of care in nursing homes through Bayesian belief networks
- Basic and advanced Bayesian structural equation modeling : with applications in the medical and behavioral sciences
- Bayes and empirical Bayes methods for data analysis
- Bayes and empirical Bayes methods for data analysis
- Bayes factor consistency in linear models when p grows with n
- Bayes or bust? : a critical examination of Bayesian confirmation theory
- Bayes strategies and human information seeking
- Bayes' rule : a tutorial introduction to Bayesian analysis
- Bayes' theorem : an old tool applicable to today's classroom measurement needs
- Bayesian Inference and Maximum Entropy Methods in Science and Engineering : 22nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
- Bayesian Methods for Hackers : Probabilistic Programming and Bayesian Inference
- Bayesian analysis for avian nest survival models
- Bayesian analysis for the social sciences
- Bayesian analysis for various order restricted problems
- Bayesian analysis in econometrics and statistics : essays in honor of Harold Jeffreys
- Bayesian analysis in econometrics and statistics : the Zellner view and papers
- Bayesian analysis in economic theory and time series analysis : the 1977 Savage Dissertation Award theses
- Bayesian analysis in statistics and econometrics : essays in honor of Arnold Zellner
- Bayesian analysis of capture-recapture models
- Bayesian analysis of competing risks, change-point and related models
- Bayesian analysis of competing risks, change-point and related models
- Bayesian analysis of competing risks, change-point and related models
- Bayesian analysis of gene expression data
- Bayesian analysis of hierarchical IRT models : comparing and combining the unidimensional & multi-unidimensional IRT models
- Bayesian analysis of item response curves
- Bayesian analysis of linear models
- Bayesian analysis of multivariate stochastic volatility and dynamic models
- Bayesian analysis of response time data
- Bayesian analysis of stochastic process models
- Bayesian analysis of stochastic process models
- Bayesian analysis of stochastic process models
- Bayesian analysis of time series and dynamic models
- Bayesian analysis with Python : introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ
- Bayesian analysis with Python : unleash the power and flexibility of the Bayesian framework
- Bayesian and frequentist regression methods
- Bayesian and likelihood methods in statistics and econometrics : essays in honor of George A. Barnard
- Bayesian approach to interpreting archaeological data
- Bayesian approaches to clinical trials and health care evaluation
- Bayesian biostatistics
- Bayesian brain : probabilistic approaches to neural coding
- Bayesian change point analysis of Copy Number Variants using Human Next Generation sequencing data
- Bayesian classification theory
- Bayesian control of Markov chains
- Bayesian data analysis
- Bayesian data analysis
- Bayesian data analysis
- 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 econometric methods
- 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 experimental design in linear regression models
- Bayesian estimation and tracking : a practical guide
- 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 estimation of DSGE models
- Bayesian estimation of system reliability under asymmetric loss
- Bayesian estimation of system reliability under asymmetric loss
- Bayesian evaluation of informative hypotheses
- Bayesian evolutionary analysis with BEAST
- Bayesian filtering and smoothing
- Bayesian forecasting and dynamic models
- Bayesian heuristic approach to discrete and global optimization : algorithms, visualization, software, and applications
- Bayesian hierarchical models and applications in cancer analysis
- Bayesian hierarchical models and applications in psychology research
- Bayesian hierarchical models for hunting success rates
- Bayesian hierarchical models for the recognition-memory experiments
- Bayesian hierarchical models in nest survival studies
- Bayesian hierarchical spatio-temporal analysis of mortality rates with disease mapping
- Bayesian hierarchical spatio-temporal analysis of mortality rates with disease mapping
- Bayesian implementation
- Bayesian inference and decision techniques : essays in honor of Bruno de Finetti
- Bayesian inference for bioassay
- Bayesian inference for dynamic pose estimation using directional statistics
- Bayesian inference for partially identified models : exploring the limits of limited data
- Bayesian inference in wavelet-based models
- Bayesian item response modeling : theory and applications
- Bayesian item response modeling : theory and applications
- 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 : 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 hackers : probabilistic programming and Bayesian inference
- Bayesian methods for measures of agreement
- Bayesian methods for structural dynamics and civil engineering
- Bayesian methods in finance
- Bayesian methods in health economics
- Bayesian methods in the search for MH370
- Bayesian model selection using intrinsic priors for commonly used models in reliability and survival analysis
- Bayesian models : a statistical primer for ecologists
- Bayesian models for categorical data
- Bayesian models in economic theory
- Bayesian nets and causality : philosophical and computational foundations
- Bayesian networks : an introduction
- 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 R : with applications in systems biology
- Bayesian non- and semi-parametric methods and applications
- Bayesian nonparametrics
- Bayesian nonparametrics via neural networks
- Bayesian probability theory : applications in the physical sciences
- Bayesian psychometric modeling
- Bayesian reasoning in data analysis : a critical introduction
- Bayesian reliability
- Bayesian reliability
- Bayesian reliability analysis
- Bayesian risk management : a guide to model risk and sequential learning in financial markets
- Bayesian scientific methodology : a naturalistic approach
- 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 smoothing spline analysis of variance models
- Bayesian spatial data analysis with application to the Missouri Ozark forest ecosystem project
- Bayesian spatial models for adjusting nonresponse in small area estimation
- Bayesian spatial models for small area estimation
- Bayesian spectrum analysis and parameter estimation
- Bayesian statistical inference
- Bayesian statistical inference for coefficient alpha
- Bayesian statistical modelling
- Bayesian statistics : an introduction
- Bayesian statistics : an introduction
- Bayesian statistics : an introduction
- Bayesian statistics : principles, models, and applications
- Bayesian statistics for evaluation research : an introduction
- Bayesian statistics for social scientists
- Bayesian statistics for the social sciences
- Bayesian statistics in actuarial science : with emphasis on credibility
- Bayesian statistics the fun way : understanding statistics and probability with Star Wars, LEGO, and rubber ducks
- Bayesian survival analysis
- Bayesian techniques for surface fuel loading estimation
- Bayesian theory and methods with applications
- Biostatistics : a Bayesian introduction
- Bringing Bayesian models to life
- Case studies in Bayesian statistical modelling and analysis
- Case studies in Bayesian statistical modelling and analysis
- Case studies in applied Bayesian data sciences
- Coherent stress testing : a Bayesian approach to the analysis of financial stress
- Compound Gibbs sampler for Bayesian hierarchical models applied to mortality rates
- Cooperative extensions of the Bayesian game
- Current trends in Bayesian methodology with applications
- Data in doubt : an introduction to Bayesian statistical inference for economists
- Decision analysis with business applications
- Development of modern statistics and related topics : in celebration of Prof. Yaoting Zhang's 70th birthday
- Does government debt crowd out investment? : a Bayesian DSGE approach
- Doing Bayesian Data Analysis : a Tutorial Introduction with R and BUGS
- Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan
- Doing bayesian data analysis : a tutorial with R and BUGS
- Efficient sequential designs with asymptotic second-order lower bound of Bayes risk for estimating product of means
- Elements of Bayesian statistics
- Empirical Bayes and likelihood inference
- Empirical Bayes estimates of parameters from the logistic regression model
- Empirical Bayes estimation of cancer mortality rates
- Empirical Bayes estimation of the mean in a multivariate normal distribution
- Empirical Bayes forecasts of one time series using many predictors
- Empirical Bayes methods
- Empirical Bayes methods
- Empirical Bayes procedure for (pattern) classification with stochastic learning
- Error and the growth of experimental knowledge
- Estimation of cancer mortality rates : a Bayesian analysis of small frequencies
- Estimation risk and optimal portfolio choice
- Evaluating Great Lakes bald eagle nesting habitat with Bayesian inference
- Final report on project Nr. 150-464 : improved estimation procedures for item response functions
- First and second order efficiency of sequential designs in a nonlinear situation with applications
- Forensic interpretation of glass evidence
- Foundations of Bayesianism
- Frequentist and bayesian analyses of European consumer purchase intention towards genetically modified food
- Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger
- Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger
- Fundamentals of nonparametric Bayesian inference
- Generalized linear models : a Bayesian perspective
- Hierarchical Bayes models with many instrumental variables
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- Hierarchical physical-statistical forecasting in the atmospheric sciences
- Hybrid fuzzy-Bayesian dynamic decision support tool for resource-based scheduling of construction projects
- Implementing the principle of maximum entropy in option pricing
- In defence of objective Bayesianism
- Inference, method, and decision : towards a Bayesian philosophy of science
- Interpreting probability : controversies and developments in the early twentieth century
- Introduction to Bayesian econometrics
- Introduction to Bayesian estimation and copula models of dependence
- Introduction to Bayesian methods in ecology and natural resources
- 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
- Investigations in the general theory of statistical decisions
- Item parameter calibration of LSAT items using MCMC approximation of Bayes posterior distributions
- Large-scale inference : empirical Bayes methods for estimation, testing, and prediction
- Learning Bayesian networks
- Let the evidence speak : using Bayesian thinking in law, medicine, ecology and other areas
- Likelihood, Bayesian and MCMC methods in quantitative genetics
- Machine learning : a Bayesian and optimization perspective
- Machine learning : a Bayesian and optimization perspective
- Machine learning : a Bayesian and optimization perspective
- Machine learning : a Bayesian and optimization perspective
- Management applications of decision theory
- Marketing decisions : a Bayesian approach
- Markov chain Monte Carlo : innovations and applications
- Maximum entropy in action : a collection of expository essays
- Measuring uncertainty : an elementary introduction to Bayesian statistics
- Model selection and model averaging
- Modelling operational risk using Bayesian inference
- Modelling operational risk using Bayesian inference
- Modern approaches to clinical trials using SAS : classical, adaptive, and Bayesian methods
- Modern approaches to clinical trials using SAS : classical, adaptive, and Bayesian methods
- Modern spatiotemporal geostatistics
- Monte Carlo methods in Bayesian computation
- Multiperiod predictions from stochastic difference equations by Bayesian methods
- Multiscale modeling : a Bayesian perspective
- Multiscale modeling : a Bayesian perspective
- Multivariate Bayesian statistics : models for source separation and signal unmixing
- New developments in the applications of Bayesian methods : proceedings of the first European conference
- Non-Bayesian decision theory : beliefs and desires as reasons for action
- Nonparametric applications of Bayesian inference
- Nonparametric bayesian density estimation with intrinsic autoregressive priors
- Numerical Bayesian methods applied to signal processing
- Numerical methods for nonlinear estimating equations
- Optimized Bayesian dynamic advising : theory and algorithms
- Optimum inductive methods : a study in inductive probability, Bayesian statistics, and verisimilitude
- Parallel algorithms in statistical applications : order restrictions and bayesian inference
- Political/military applications of Bayesian analysis : methodological issues
- Practical applications of Bayesian reliability
- Practical nonparametric and semiparametric Bayesian statistics
- Principles of statistics : traditional and Bayesian
- Prior processes and their applications : nonparametric Bayesian estimation
- Probabilistic forecasting and Bayesian data assimilation
- Probabilistic methods for bioinformatics : with an introduction to Bayesian networks
- Probabilistic methods for bioinformatics : with an introduction to Bayesian networks
- 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
- Proceedings of the Symposium on Empirical Bayes Estimation and Computing in Statistics : held at the Dept. of Mathematics, Texas Tech University, Lubbock, Texas, August 1969
- Proving history : Bayes's theorem and the quest for the historical Jesus
- Quitting certainties : a Bayesian framework modeling degrees of belief
- Random set models for growth with applications to nowcasting
- Rational decision and causality
- Rational decisions
- Rational decisions
- Rational descriptions, decisions, and designs
- Reasoning with probabilistic and deterministic graphical models : exact algorithms
- Recursive nonlinear estimation : a geometric approach
- Reliability and risk : a Bayesian perspective
- Research and the credibility of estimates : an appraisal tool for executives and researchers
- Rethinking the foundations of statistics
- Risk assessment and decision analysis with Bayesian networks
- Robust Bayesian analysis
- Robustness of Bayesian analyses
- Scientific reasoning : the Bayesian approach
- Semiparametric Bayesian analysis of single and multiple event time data
- Sensitivity analysis in multi-objective decision making
- Sequential control with incomplete information : the Bayesian approach to multi-armed bandit problems.
- Sequential test allocation for estimating software reliability with associated cost
- Spatial and spatio-temporal Bayesian models with R-INLA
- Statistical and cost-benefit enhancements to the DQO process for characterization decisions
- Statistical and evolutionary analysis of biological networks
- Statistical decision theory and Bayesian analysis
- Statistical decision theory and Bayesian analysis
- Statistical decision theory with business and economic applications : a Bayesian approach
- Statistical decision theory, foundations, concepts, and methods
- Statistical multiple integration : proceedings of a Joint Summer Research Conference held June 17-23, 1989
- Statistical multisource-multitarget information fusion
- Statistical rethinking : a Bayesian course with examples in R and Stan
- Statistical rethinking : a Bayesian course with examples in R and Stan
- Statistical rethinking : a Bayesian course with examples in R and Stan
- Statistical tests for detecting crustal movements using Bayesian inference
- Statistics for decisions : an elementary introduction
- Stochastic processes and filtering theory
- Strategic economic decision-making : using bayesian belief networks to solve complex problems
- Structural equation modeling : a Bayesian approach
- Studies in Bayesian econometrics and statistics : in honor of Leonard J. Savage
- System and Bayesian reliability : essays in honor of Professor Richard E. Barlow on his 70th birthday
- Taking chances : essays on rational choice
- Temporal GIS : advanced functions for field-based applications
- 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 Oxford handbook of Bayesian econometrics
- The dynamics of rational deliberation
- The economics of uncertainty
- The likelihood principle
- The logic of decision
- The practice of Bayesian analysis
- 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
- Theory of Ba spaces and its applications
- Theory of preliminary test and Stein-type estimation with applications
- Think Bayes
- Tools for statistical inference : methods for the exploration of posterior distributions and likelihood functions
- Tools for statistical inference : observed data and data augmentation methods
- Topics in bayesian estimation : frequentist risks and hierarchical models for time to pregnancy
- Topics in objective bayesian methodology and spatio-temporal models
- Towards a better understanding of Bayesian methods
- Uncertain judgements : eliciting experts' probabilities
- Using publicly available information to proxy for unidentified race and ethnicity : a methodology and assessment
- Using the STARS model to evaluate the effects of the proposed action for the reinitiation of consultation on the coordinated long-term operation of the Central Valley and State Water Project
- Using the STARS model to evaluate the effects of two proposed projects for the long-term operation of state water project incidental take permit application and CEQA compliance

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