Bayesian statistical decision theory.

Nonbayesian Decision Theory = Beliefs and Desires as Reasons for Action / by: (Language materials, printed)

Bayesian Nets and Causality = Philosophical and Computational Foundations by: (Language materials, printed)

Forecasting international migration in Europe = a bayesian view / by: (Language materials, printed)

Bayesian Networks and Influence Diagrams = A Guide to Construction and Analysis / by: (Language materials, printed)

Bayesian process monitoring, control and optimization / by: (Language materials, printed)

Innovations in Bayesian networks = theory and applications / by: (Language materials, printed)

Testlet response theory and its applications by: (Language materials, printed)

Probabilistic Modeling in Bioinformatics and Medical Informatics by: (Language materials, printed)

Testlet response theory and its applications by: (Language materials, printed)

Bayesian theory and methods with applications by: (Language materials, printed)

Bayesian adaptive methods for clinical trials by: (Language materials, printed)

Applied Bayesian hierarchical methods by: (Language materials, printed)

Decision theory models for applications in artificial intelligence = concepts and solutions / by: (Language materials, printed)

In defence of objective Bayesianism by: (Language materials, printed)

Bayesian smoothing and regression for longitudinal, spatial and event history data by: (Language materials, printed)

Bayesian rationality = the probabilistic approach to human reasoning / by: (Language materials, printed)

Bayesian inference = with ecological applications / by: (Language materials, printed)

Bayesian networks and influence diagrams = a guide to construction and analysis / by: (Language materials, printed)

Bayesian reasoning and machine learning / by: (Language materials, printed)

Bayesian time series models / by: (Language materials, printed)

Approximation methods for efficient learning of Bayesian networks / by: (Language materials, printed)

Strategic economic decision-making = using bayesian belief networks to solve complex problems / by: (Language materials, printed)

Bayesian and frequentist regression methods by: (Language materials, printed)

Applied Bayesian statistics = with R and OpenBUGS examples / by: (Language materials, printed)

Decision making and imperfection by: (Language materials, printed)

A multiple-testing approach to the multivariate Behrens-Fisher problem = with simulations and examples in SAS / by: (Language materials, printed)

A bayesian analysis of QCD sum rules by: (Language materials, printed)

Bayesian networks in R = with applications in systems biology / by: (Language materials, printed)

Prior processes and their applications = nonparametric Bayesian estimation / by: (Language materials, printed)

Bayesian bounds for parameter estimation and nonlinear filtering / tracking by: (Language materials, printed)

Bayesian evaluation of informative hypotheses by: (Language materials, printed)

Bayesian reliability by: (Language materials, printed)

Decision making with imperfect decision makers by: (Language materials, printed)

Bayesian nonparametrics by: (Language materials, printed)

The value of information updating in new product development by: (Language materials, printed)

Machine learning : = a Bayesian and optimization perspective / by: (Language materials, printed)

Bayesian signal processing : = classical, modern, and particle filtering methods / by: (Language materials, printed)

Bayesian networks : = an introduction / by: (Language materials, printed)

Bayesian Theory and Applications by: (Language materials, printed)

Quitting Certainties = A Bayesian Framework Modeling Degrees of Belief / by: (Language materials, printed)

Tackling the inverse problem for non-autonomous systems = application to the life sciences / by: (Language materials, printed)

Bayesian essentials with R by: (Language materials, printed)

Doing Bayesian data analysis = a tutorial with R, JAGS, and stan / by: (Language materials, printed)

Bayesian model comparison by: (Language materials, printed)

Regularization and Bayesian methods for inverse problems in signal and image processing DUP_1 by: (Language materials, printed)

Applied Bayesian modelling DUP_1 by: (Language materials, printed)

Case studies in bayesian statistical modelling and analysis by: (Language materials, printed)

Regularization and Bayesian methods for inverse problems in signal and image processing by: (Language materials, printed)

Applied Bayesian modelling by: (Language materials, printed)

Bayesian analysis of failure time data using P-Splines by: (Language materials, printed)

Introduction to hierarchical Bayesian modeling for ecological data by: (Language materials, printed)

Nonlinear mixture models = a Bayesian approach / by: (Language materials, printed)

Bayesian non- and semi-parametric methods and applications by: (Language materials, printed)

Bayesian prediction and adaptive sampling algorithms for mobile sensor networks = online environmental field reconstruction in space and time / by: (Language materials, printed)

Bayesian methods in the search for MH370 by: (Language materials, printed)

Prior processes and their applications = nonparametric bayesian estimation / by: (Language materials, printed)

Bayesian inference = data evaluation and decisions / by: (Language materials, printed)

The manual of strategic economic decision making = using Bayesian belief networks to solve complex problems / by: (Language materials, printed)

Model choice in nonnested families by: (Language materials, printed)

Bayesian signal processing : = classical, modern, and particle filtering methods / by: (Language materials, printed)

Benefits of Bayesian network models by: (Language materials, printed)

Process control system fault diagnosis : = a Bayesian approach / by: (Language materials, printed)

Bayesian cost-effectiveness analysis with the R package BCEA by: (Language materials, printed)

Maximizing information system availability through Bayesian belief network approaches = emerging research and opportunities / by: (Language materials, printed)

Bayesian inference in the social sciences by: (Language materials, printed)

Bayesian risk management = a guide to model risk and sequential learning in financial markets / by: (Language materials, printed)

Spatial and spatio-temporal Bayesian models with R-INLA by: (Language materials, printed)

Introduction to Bayesian estimation and copula models of dependence by: (Language materials, printed)

Introduction to Bayesian statistics by: (Language materials, printed)

Probabilistic finite element model updating using Bayesian statistics = applications to aeronautical and mechanical engineering / by: (Language materials, printed)

Modelling proteasome dynamics in a Bayesian framework by: (Language materials, printed)

Bayesian data analysis for animal scientists = the basics / by: (Language materials, printed)

Let the evidence speak = using bayesian thinking in law, medicine, ecology and other areas / by: (Language materials, printed)

The impact of economic freedom on state legitimacy = an empirical investigation / by: (Language materials, printed)

Modern Bayesian statistics in clinical research by: (Language materials, printed)

Bayesian claims reserving methods in non-life insurance with Stan = an introduction / by: (Language materials, printed)

Practical applications of Bayesian reliability / by: (Language materials, printed)

Reasoning with probabilistic and deterministic graphical models : = exact algorithms / by: (Language materials, printed)

Bayesian analysis in natural language processing / by: (Language materials, printed)

Bayesian networks for managing learner models in adaptive hypermedia systems = emerging research and opportunities / by: (Language materials, printed)

Cognitive fusion for target tracking / by: (Language materials, printed)

Applied hierarchical modeling in ecology. = analysis of distribution, abundance and species richness in R and BUGS /. Volume 1,. Prelude and static models by: (Language materials, printed)

Risk assessment and decision analysis with bayesian networks by: (Language materials, printed)

Bayesian applications in pharmaceutical development by: (Language materials, printed)

Mathematical theory of Bayesian statistics by: (Language materials, printed)

Machine learning = a Bayesian and optimization perspective / by: (Language materials, printed)

Genomics data analysis = false discovery rates and empirical Bayes methods / by: (Language materials, printed)

Bayesian statistical modeling with Stan, R, and Python by: (Language materials, printed)

Bayesian modeling and computation in Python by: (Language materials, printed)

WAIC and WBIC with R Stan = 100 exercises for building logic / by: (Language materials, printed)

Statistical modeling using Bayesian latent Gaussian models = with applications in geophysics and environmental sciences / by: (Language materials, printed)

WAIC and WBIC with Python Stan = 100 exercises for building logic / by: (Language materials, printed)

Bayesian logical data analysis for the physical sciences : = a comparative approach with Mathematica support / by: (Language materials, printed)

Bayesian methods for interaction and design / by: (Language materials, printed)

Testlet response theory and its applications / by: (Language materials, printed)

Bayesian compendium by: (Language materials, printed)

Bayesian analysis of spatially structured population dynamics by: (Language materials, printed)

Nonparametric Bayesian inference = contributions by Jean-Marie Rolin / by: (Language materials, printed)

Testlet response theory and its applications by: (Language materials, printed)

Bayesian spatial modelling with conjugate prior models by: (Language materials, printed)