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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 Liverpool**.

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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 Liverpool**.- Label
- Bayesian statistical decision theory

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- A Bayesian approach to attribute based consideration sets
- A bayesian analysis of QCD sum rules
- A brief history of statistical developments in animal breeding : part 1 of 2, from Galton to Bayes
- A first course in Bayesian statistical methods
- A multiple-testing approach to the multivariate Behrens-Fisher problem : with simulations and examples in SASÂ®
- A student's guide to Bayesian statistics
- Adaptive clinical trials : overview, part 1 of 2
- An introduction to Bayesian inference in econometrics
- An introduction to statistics for statistical genetics : part 1, general statistical concepts
- Applied Bayesian forecasting and times series analysis
- Applied Bayesian modelling
- Applied Bayesian statistics : with R and OpenBUGS examples
- Applied hierarchical modeling in ecology : analysis of distribution, abundance and species richness in R and BUGS, Volume 1, Prelude and static models
- Approximation methods for efficient learning of Bayesian networks
- Audit risk and audit evidence : the bayesian approach to statistical auditing
- Basic and advanced 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 linear statistics : theory and methods
- Bayes or bust?: a critical examination of Bayesian confirmation theory
- Bayesian adaptive designs for clinical trials
- Bayesian adaptive methods for clinical trials
- Bayesian analysis in economic theory and time series analysis | Bidding for contracts approach to the spectral analysis of stationary time series | A Bayesian approach to the spectral analysis of time series
- Bayesian analysis in natural language processing
- Bayesian analysis in natural language processing
- 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 and frequentist regression methods
- Bayesian approach to interpreting archaeological data
- Bayesian approaches to clinical trials and health care evaluation
- Bayesian biostatistics
- Bayesian bounds for parameter estimation and nonlinear filtering / tracking
- Bayesian claims reserving methods in non-life Insurance with Stan : an introduction
- Bayesian cost-effectiveness analysis with the R package BCEA
- Bayesian data analysis
- Bayesian data analysis
- Bayesian data analysis in ecology using linear models with R, BUGS, and Stan
- Bayesian data analysis in ecology using linear models with R, BUGS, and Stan
- Bayesian decision analysis : principles and practice
- Bayesian econometrics
- Bayesian epistemology
- Bayesian essentials and bayesian regression
- Bayesian estimation and experimental design in linear regression models
- Bayesian estimation and tracking : a practical guide
- Bayesian evaluation of informative hypotheses
- Bayesian filtering and smoothing
- Bayesian forecasting and dynamic models
- Bayesian ideas and data analysis : an introduction for scientists and statisticians
- Bayesian inference : data evaluation and decisions
- Bayesian inference : with ecological applications
- Bayesian inference in dynamic econometric models
- Bayesian inference in the social sciences
- Bayesian instrumental variables and simultaneity
- 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 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 statistical analysis
- Bayesian methods for structural dynamics and civil engineering
- Bayesian methods in cosmology
- Bayesian methods in finance
- Bayesian methods in the search for MH370
- Bayesian model comparison
- Bayesian modeling of social network data
- Bayesian modeling using WinBUGS
- Bayesian multiple target tracking
- Bayesian multiple target tracking
- Bayesian nets and causality : philosophical and computational foundations
- 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
- Bayesian philosophy of science
- Bayesian prediction and adaptive sampling algorithms for mobile sensor networks : online environmental field reconstruction in space and time
- Bayesian probability theory : applications in the physical sciences
- Bayesian rationality : the probabilistic approach to human reasoning
- Bayesian reasoning and machine learning
- Bayesian regression modeling with INLA
- Bayesian reliability
- Bayesian reliability
- 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 spectrum analysis and parameter estimation
- Bayesian statistical inference
- Bayesian statistical inference
- Bayesian statistical modelling
- Bayesian statistics : an introduction
- Bayesian statistics : an introduction
- Bayesian statistics and marketing
- Bayesian statistics for beginners : a step-by-step approach
- Bayesian statistics for social scientists
- Bayesian statistics: an introduction
- Bayesian statistics: principles, models and applications
- Bayesian stochastic dynamic models for internet auctions
- Bayesian survival analysis
- Bayesian theory
- Bayesian theory and methods with applications
- Bayesian time series models
- Benchmark priors revisited : on adaptive shrinkage and the supermodel effect in Bayesian Model averaging
- Benefits of Bayesian network models
- Case studies in Bayesian statistical modelling and analysis
- Case studies of adaptive early phase trials
- Clinical trial design : Bayesian and frequentist adaptive methods
- Cognitive fusion for target tracking
- Coherent stress testing : a Bayesian approach to the analysis of financial stress
- Contemporary Bayesian Econometrics and Statistics
- Cooperative extensions of the Bayesian game
- Customer experiences affect customer loyalty : an empirical investigation of the starbucks experience using structural equation modeling
- Data analysis : a Bayesian tutorial
- Data in doubt: an introduction to Bayesian statistical inference for economists
- Decision analysis: a Bayesian approach
- Decision making and imperfection
- Decision making with imperfect decision makers
- Design early phase drug combination trials : 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
- Elements of Bayesian statistics
- Empirical Bayes methods
- Error and the growth of experimental knowledge
- Error and the growth of experimental knowledge
- Essential statistical inference : theory and methods
- Estimating an item's category role
- Evidence synthesis for decision making in healthcare
- Financial risk management with Bayesian estimation of GARCH models : theory and applications
- Forecasting international migration in Europe : a Bayesian view
- Foundations and applications of inductive probability
- Foundations of Bayesianism
- Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger
- GxE interactions in genome-wide association studies
- Handbook of approximate Bayesian computation
- Heterogeneity
- Hierarchical effects of advertising
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- Hierarchical models, conditional independence and data augmentation
- Inference, method, and decision : towards a Bayesian philosophy of science
- Interpreting probability : controversies and developments in the early twentieth century
- Introduction to Bayesian estimation and copula models of dependence
- Introduction to Bayesian scientific computing : ten lectures on subjective computing
- Introduction to Bayesian statistics
- Introduction to Bayesian statistics
- Introduction to Bayesian statistics
- Introduction to MCMC methods and the Gibbs sampler
- Introduction to applied Bayesian statistics and estimation for social scientists
- Investigating the strategic influence of customer satisfaction on firm financial performance
- Joint choice decisions
- Let the evidence speak : using bayesian thinking in law, medicine, ecology and other areas
- Limited information Bayesian model averaging for dynamic panels with short time periods
- Machine learning : a Bayesian and optimization perspective
- Machine learning : a Bayesian and optimization perspective
- Making better pricing decisions with informative priors
- Marketing mix modeling
- Markov chain Monte Carlo : innovations and applications
- Maximum entropy and Bayesian methods in applied statistics
- Measurement error and misclassification in statistics and epidemiology : impacts and Bayesian adjustments
- Metropolis algorithms, logit and quantile regression estimation
- Model choice and decision theory
- Model choice in nonnested families
- Modeling in medical decision making : a Bayesian approach
- Modelling operational risk using Bayesian inference
- Modelling proteasome dynamics in a Bayesian framework
- Models for upper levels of a hierarchy
- Modern Bayesian statistics in clinical research
- Modern spatiotemporal geostatistics
- Modern spatiotemporal geostatistics
- Multiscale modeling : a Bayesian perspective
- Non-Bayesian decision theory : beliefs and desires as reasons for action
- Optimized Bayesian dynamic advising : theory and algorithms
- Phase II clinical trials : Bayesian methods
- Practical applications of Bayesian reliability
- 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
- Probabilistic finite element model updating using Bayesian statistics : applications to aeronautical and mechanical engineering
- Probabilistic forecasting and Bayesian data assimilation
- Probabilistic methods for bioinformatics : with an introduction to Bayesian networks
- Probabilistic modeling in bioinformatics and medical informatics
- Probability, statistics, and decision for civil engineers
- Quitting certainties : a Bayesian framework modeling degrees of belief
- Rational decision and causality
- Rational decisions
- Reasoning with probabilistic and deterministic graphical models : exact algorithms
- Reasoning with probabilistic and deterministic graphical models : exact algorithms
- Regularization and Bayesian methods for inverse problems in signal and image processing
- Reporting bias in survey data
- Rethinking the foundations of statistics
- Risk analysis of complex systems : using hierarchical bayesian models
- Risk assessment and decision analysis with Bayesian networks
- Scientific reasoning : the Bayesian approach
- Scientific reasoning: the Bayesian approach
- Security design : part 2 of 3
- Sequential Monte Carlo methods for nonlinear discrete-time filtering
- Spatial and spatio-temporal Bayesian models with R-INLA
- Statistical and evolutionary analysis of biological networks
- Statistical decision theory and Bayesian analysis
- Statistical genetics in forensic science
- Statistical multisource-multitarget information fusion
- 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
- Statistics : a Bayesian perspective
- Strategic economic decision-making : using bayesian belief networks to solve complex problems
- Subarachnoid hemorrhage : a Bayesian approach to a neurological black swan
- 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
- Testlet response theory and its applications
- The BUGS book : a practical introduction to Bayesian analysis
- The Bayesian choice: a decision-theoretic motivation
- The anatomy of bias : how neural circuits weigh the options
- The dynamics of rational deliberation
- The impact of economic freedom on state legitimacy : an empirical investigation
- 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 value of HB in conjoint/choice analysis
- The value of information updating in new product development
- The variational Bayes method in signal processing
- Tools for constructing chronologies : crossing disciplinary boundaries
- Tools for statistical inference : methods for the exploration of posterior distributions and likelihood functions
- Trade-up, trade-down : models for capturing change in consideration set
- Uncertain judgements : eliciting experts' probabilities
- Uncertain judgements : eliciting experts' probabilities
- Unit-level models and discrete demand
- Variety : models of multiple-discreteness

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