#
Bayesian statistical decision theory
Resource Information
The concept ** Bayesian statistical decision theory** represents the subject, aboutness, idea or notion of resources found in **Massey University Library, University of New Zealand**.

The Resource
Bayesian statistical decision theory
Resource Information

The concept

**Bayesian statistical decision theory**represents the subject, aboutness, idea or notion of resources found in**Massey University Library, University of New Zealand**.- Label
- Bayesian statistical decision theory

## Context

Context of Bayesian statistical decision theory#### Subject of

- A comparison of the Bayesian and frequentist approaches to estimation
- A student's guide to Bayesian statistics
- Adaptive learning of polynomial networks : genetic programming, backpropagation and Bayesian methods
- Adjusting the parameter estimation of the parentage analysis software MasterBayes to the presence of siblings : a thesis presented in partial fulfillment of the requirements for the degree of Master of Applied Statistics at Massey University, Albany, New Zealand
- Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy
- Advanced mapping of environmental data : geostatistics, machine learning and Bayesian maximum entropy
- Agricultural decision analysis
- An introduction to Bayesian inference
- An introduction to Bayesian inference in econometrics
- An introduction to decision theory
- Analyzing volatile compound measurements using traditional multivariate techniques and Bayesian networks : a thesis presented in partial fulfillment of the requirements for the degree of Master of Arts in Statistics at Massey University, Albany, New Zealand
- 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
- Approximation methods for efficient learning of Bayesian networks
- Assessing Starmer's evidence for new theories of choice : a subjectivist's comment
- BUGS for a Bayesian analysis of stochastic volatility models
- Bayes and empirical Bayes methods for data analysis
- Bayes linear statistics : theory and methods
- Bayes or bust? : a critical examination of Bayesian confirmation theory
- Bayes' rule : a tutorial introduction to Bayesian analysis
- Bayesian analysis for the social sciences
- Bayesian analysis made simple : an Excel GUI for WinBUGS
- Bayesian analysis of a cointegration model using Markov Chain Monte Carlo
- 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 analysis of the stochastic conditional duration model
- Bayesian and frequentist regression methods
- Bayesian and likelihood methods in statistics and econometrics : essays in honor of George A. Barnard
- Bayesian approach to inverse problems
- Bayesian approaches to clinical trials and health-care evaluation
- Bayesian approaches to clinical trials and health-care evaluation
- Bayesian biostatistics
- Bayesian biostatistics
- Bayesian brain : probabilistic approaches to neural coding
- Bayesian brain : probabilistic approaches to neural coding
- Bayesian classification of satellite imagery with spatio-temporal dependence applied to low cloud detection
- Bayesian computational methods and applications
- Bayesian data analysis
- Bayesian data analysis
- Bayesian data analysis in ecology using linear models with R, BUGS, and Stan
- Bayesian disease mapping : hierarchical modeling in spatial epidemiology
- Bayesian econometric methods
- Bayesian econometrics
- Bayesian epistemology
- Bayesian estimation and experimental design in linear regression models
- Bayesian estimation and tracking : a practical guide
- Bayesian estimation of Atkinson inequality measures
- Bayesian estimation of social welfare and tax progressivity measures
- Bayesian evolutionary analysis with BEAST
- Bayesian field theory
- Bayesian filtering and smoothing
- Bayesian forecasting and dynamic models
- Bayesian ideas and data analysis : an introduction for scientists and statisticians
- Bayesian ideas and data analysis : an introduction for scientists and statisticians
- Bayesian inference : data evaluation and decisions
- 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 the seemingly unrelated regressions model
- Bayesian inference in the social sciences
- Bayesian learning for neural networks
- 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 management and business : pragmatic solutions for real problems
- Bayesian methods for nonlinear classification and regression
- Bayesian methods for statistical analysis
- Bayesian methods for structural dynamics and civil engineering
- Bayesian methods for structural dynamics and civil engineering
- Bayesian methods in epidemiology
- Bayesian methods in finance
- Bayesian methods in finance
- Bayesian methods in health economics
- Bayesian methods in reliability
- Bayesian methods in the search for MH370
- Bayesian methods to address multiple comparisons and misclassification bias in studies of occupational and environmental risks of cancer : a thesis by publications presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Public Health, Massey University, Wellington, New Zealand
- Bayesian model averaging in consumer demand systems with inequality constraints
- Bayesian model comparison
- Bayesian modeling in bioinformatics
- Bayesian modeling using WinBUGS
- Bayesian modelling of direct and indirect effects of marine reserves on fishes : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Albany, New Zealand
- Bayesian models : a statistical primer for ecologists
- Bayesian models for categorical data
- Bayesian multiple target tracking
- Bayesian multiple target tracking
- Bayesian natural language semantics and pragmatics
- Bayesian nets and causality : philosophical and computational foundations
- Bayesian network classifiers in Weka
- Bayesian networks : a practical guide to applications
- Bayesian networks : an introduction
- Bayesian networks : with examples in R
- Bayesian networks and influence diagrams : a guide to construction and analysis
- Bayesian non- and semi-parametric methods and applications
- Bayesian nonparametrics
- 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 and spectral analysis
- Bayesian process monitoring, control and optimization
- Bayesian reasoning in data analysis : a critical introduction
- Bayesian reliability analysis
- Bayesian risk management : a guide to model risk and sequential learning in financial markets
- 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 statistical inference
- Bayesian statistical modelling
- Bayesian statistics : an introduction
- Bayesian statistics : principles, models, and applications
- Bayesian statistics and marketing
- Bayesian statistics and marketing
- Bayesian statistics for social scientists
- Bayesian statistics for the social sciences
- Bayesian statistics; : a review
- Bayesian survival analysis
- Bayesian theory
- Bayesian theory
- Bayesian theory and applications
- Bayesian theory and applications
- Bayesian thinking : modeling and computation
- Bayesian time series models
- Benefits of Bayesian network models
- Biostatistics : a Bayesian introduction
- Case Studies in Bayesian Statistical Modelling and Analysis
- Case studies in Bayesian statistics
- Circular and elliptical schools
- Clinical trial design : Bayesian and frequentist adaptive methods
- Coherent stress testing : a Bayesian approach to the analysis of financial stress
- Computational methods for genetics of complex traits
- Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches : a thesis presented in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Albany, New Zealand
- Contemporary Bayesian and frequentist statistical research methods for natural resource scientists
- Contemporary Bayesian econometrics and statistics
- Contemporary Bayesian econometrics and statistics
- Cooperative extensions of the Bayesian game
- Data analysis : a Bayesian tutorial
- Data analysis : a Bayesian tutorial
- Data analysis in forensic science : a Bayesian decision perspective
- Decision analysis : a Bayesian approach
- Decision theory models for applications in artificial intelligence : concepts and solutions
- Decision theory with a human face
- Decision, probability, and utility : selected readings
- Deviance information criterion as a model comparison criterion for stochastic volatility models
- Documentation of C programs for low cloud detection using Bayesian methods
- Doing Bayesian data analysis : a tutorial with R and BUGS
- Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan
- Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan
- Elementary Bayesian biostatistics
- Elementary Bayesian statistics
- Empirical Bayes estimation of coefficients in the general linear model from data of deficient rank
- Empirical Bayes methods
- Error and the growth of experimental knowledge
- Essential Bayesian models : a derivative of Handbook of statistics: Bayesian thinking - modeling and computation, vol. 25
- Estimating fish concentrations using trawl data
- Estimation of hyperbolic diffusion using MCMC method
- Estimation of hyperbolic diffusion using MCMC method
- Evidence synthesis for decision making in healthcare
- Experiences with a weighted decision tree learner
- Fans, frames and risk aversion : how robust is the common consequence effect?
- Financial and macroeconomic dynamics in Central and Eastern Europe : a Bayesian approach
- Financial risk management with Bayesian estimation of GARCH models : theory and applications
- Fine scale mapping of fish distribution from commercial catch and effort data using maximum entropy tomography
- Forecasting inflation and real GDP : Bayesian VAR models of the New Zealand economy
- Forecasting international migration in Europe : a Bayesian view
- Foundations of Bayesianism
- Fractional cointegration : Bayesian inferences using a Jeffreys prior
- Fractional cointegration : a Bayesian approach
- Fundamentals of nonparametric Bayesian inference
- GPM6 : the Global Projection Model with 6 regions
- Hachemeister's Bayesian regression model revisited
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- In defence of objective Bayesianism
- In defence of objective Bayesianism
- Inferring beyond reasonable doubt
- 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
- Introduction to Bayesian estimation and copula models of dependence
- Introduction to Bayesian statistics
- Introduction to applied Bayesian statistics and estimation for social scientists
- Introduction to applied Bayesian statistics and estimation for social scientists
- Introduction to hierarchical Bayesian modeling for ecological data
- Kendall's advanced theory of statistics
- Large-scale inference : empirical Bayes methods for estimation, testing, and prediction
- Large-scale inverse problems and quantification of uncertainty
- Learning Bayesian networks
- Locally weighted naive Bayes
- MCMC methods for estimating stochastic volatility models with leverage effects : comments on Jacquier, Polson and Rossi (2002)
- Machine learning : a Bayesian and optimization perspective
- Markov chain Monte Carlo : innovations and applications
- Markov chain Monte Carlo : innovations and applications
- Markov chain Monte Carlo : stochastic simulation for Bayesian inference
- Maximizing information system availability through Bayesian belief network approaches : emerging research and opportunities
- Measuring uncertainty; : an elementary introduction to Bayesian statistics
- Modeling Multilevel Data in Traffic Safety : a Bayesian Hierarchical Approach
- Modelling proteasome dynamics in a Bayesian framework
- Modelling uncertain data
- Models, estimators, tests and the Reverend Thomas Bayes
- Monte Carlo methods in Bayesian computation
- Multiple schools
- Multivariate Bayesian statistics : models for source separation and signal unmixing
- Naive Bayes for regression
- New developments in the applications of Bayesian methods : proceedings of the first European conference
- News driven business cycles and data on asset prices in estimated DSGE models
- Non-Bayesian decision theory : beliefs and desires as reasons for action
- Nonlinear mixture models : a Bayesian approach
- Nonlinear mixture models : a bayesian approach
- Nonparametric Bayesian inference in biostatistics
- Nonparametric seemingly unrelated regression
- Operational Bayesian models for designed experiments
- Optimal statistical decisions
- Optimized Bayesian dynamic advising : theory and algorithms
- Parameterisation and efficient MCMC estimation of non-Gaussian state space models
- Planning based on decision theory
- Practical Bayesian inference : a primer for physical scientists
- Pragmatics of uncertainty
- Principles of uncertainty
- Prior processes and their applications : nonparametric bayesian estimation
- Probabilistic finite element model updating using Bayesian statistics : applications to aeronautical and mechanical engineering
- Probabilistic methods for bionformatics : with an introduction to Bayesian networks
- Probabilistic modeling in bioinformatics and medical informatics
- Process control system fault diagnosis : a Bayesian approach
- Quitting certainties : a Bayesian framework modeling degrees of belief
- Rational decision and causality
- Rational decisions
- Recursive nonlinear/non-Gaussian Bayesian estimation for a biological wastewater treatment process in a dynamic state-space model
- Regularization and Bayesian methods for inverse problems in signal and image processing
- Reliability and risk : a Bayesian perspective
- Rethinking the foundations of statistics
- Robustness of Bayesian analyses
- Réseaux bayésiens avec R
- Sample size requirements for estimation in SUR models
- Scientific reasoning : the Bayesian approach
- Sequential Monte Carlo methods for nonlinear discrete-time filtering
- Simulation-based Bayesian estimation of affine term structure models
- Spatial and spatio-temporal Bayesian models with R-INLA
- Statistical and evolutionary analysis of biological networks
- Statistical decision theory and Bayesian analysis
- Statistical multisource-multitarget information fusion
- Statistical multisource-multitarget information fusion
- Statistical rethinking : a Bayesian course with examples in R and Stan
- Statistics : a Bayesian perspective
- Stochastic processes and filtering theory
- Stochastic processes and filtering theory
- Structural equation modeling : a Bayesian approach
- Structural equation modeling : a Bayesian approach
- Subjective and objective Bayesian statistics : principles, models, and applications
- 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
- The BUGS book : a practical introduction to Bayesian analysis
- The Bayesian approach to statistics : a review of methodology with selected applications : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Statistics at Massey University
- The Bayesian choice : a decision-theoretic motivation
- The Oxford Handbook of Bayesian Econometrics
- The Oxford handbook of Bayesian econometrics
- The Oxford handbook of applied Bayesian analysis
- The anatomy of bias : how neural circuits weigh the options
- The likelihood principle
- The logic of decision
- The practice of Bayesian analysis
- The signal and the noise : the art and science of prediction
- The signal and the noise : why most predictions fail--but some don't
- The subjectivity of scientists and the Bayesian approach
- The subjectivity of scientists and the Bayesian statistical approach
- The value of information updating in new product development
- The value of information updating in new product development
- Theory of preliminary test and Stein-type estimation with applications
- Tools for statistical inference : methods for the exploration of posterior distributions and likelihood functions
- Towards a non-Walrasian model with Bayesian learning
- Unbiased predictions in sparse data problems
- Uncertain judgements : eliciting experts' probabilities
- Valid Bayesian estimation of the cointegrating error correction model
- Which comes first, cause or effect?

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.massey.ac.nz/resource/yRCFMf3VsJ8/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.massey.ac.nz/resource/yRCFMf3VsJ8/">Bayesian statistical decision theory</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.massey.ac.nz/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.massey.ac.nz/">Massey University Library, University of New Zealand</a></span></span></span></span></div>`