Bayesian statistical decision theory.

Bayesian inference / by: (Language materials, printed)

Statistics : = a Bayesian perspective / by: (Language materials, printed)

Bayesian data analysis / by: (Language materials, printed)

Bayes and empirical bayes methods for data analysis / by: (Language materials, printed)

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

Bayesian inference and decision technuques : = bessays in honor of Bruno de Finetti / by: (Language materials, printed)

An introduction to Bayesian inference in econometrics / by: (Language materials, printed)

The Practice of Bayesian analysis / by: (Language materials, printed)

Statistical inference : = an integrated approach / by: (Language materials, printed)

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

Statistical multiple integration : = proceedings of a joint summer research conference held at Humboldt University, June 17-23, 1989 / by: (Language materials, printed)

Bayesian survival analysis / by: (Language materials, printed)

The subjectivity of scientists and the Bayesian approach / by: (Language materials, printed)

Bayesian methods for nonlinear classification and regression / by: (Language materials, printed)

Bayesian statistical modelling / by: (Language materials, printed)

Bayesian statistical inference / by: (Language materials, printed)

Temporal GIS : = advanced functions for field-based applications / by: (Language materials, printed)

The Bayesian choice : = from decision-theoretic foundations to computational implementation / by: (Language materials, printed)

Theory of preliminary test and Stein-type estimation with applications / by: (Language materials, printed)

Bayesian statistics and marketing / by: (Language materials, printed)

Bayesian models for categorical data / by: (Language materials, printed)

Statistical decision theory and Bayesian analysis / by: (Language materials, printed)

Bayesian methods for ecology / by: (Language materials, printed)

Bayesian economics through numerical methods = a guide to econometrics and decision-making with prior information / by: (Language materials, printed)

Bayesian forecasting and dynamic models by: (Language materials, printed)

Interpreting probability = controversies and developments in the early twentieth century / by: (Language materials, printed)

Modeling in medical decision making : = a Bayesian approach / by: (Language materials, printed)

Bayesian Epistemology by: (Language materials, printed)

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

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

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

Bayesian brain : = probabilistic approaches to neural coding / by: (Language materials, printed)

Model selection and model averaging / by: (Language materials, printed)

Economic decision making : = basic concepts and models / by: (Language materials, printed)

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

Bayesian economics through numerical methods = a guide to econometrics and decision-making with prior information / by: (Language materials, printed)

Bayesian forecasting and dynamic models by: (Language materials, printed)

Bayesian approach to image interpretation by: (Language materials, printed)

Bayesian item response modeling = theory and applications / by: (Language materials, printed)

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

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

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

Frontiers of statistical decision making and Bayesian analysis = in honor of James O. Berger / by: (Language materials, printed)

Bayesian methods for measures of agreement / by: (Language materials, printed)

Bayesian missing data problems : = EM, data augmentation and noniterative computation / by: (Language materials, printed)

Bayesian analysis made simple : = an Excel GUI for WinBUGS / by: (Language materials, printed)

Bayesian data analysis / by: (Language materials, printed)

Bayesian methods for data analysis / by: (Language materials, printed)

Bayesian model selection and statistical modeling / by: (Language materials, printed)

Markov chain Monte Carlo : = stochastic simulation for Bayesian inference / by: (Language materials, printed)

Principles of uncertainty / by: (Language materials, printed)

Missing data in longitudinal studies = strategies for Bayesian modeling and sensitivity analysis / by: (Electronic resources)

Bayesian missing data problems = EM, data augmentation and noniterative computation / by: (Electronic resources)

Bayesian biostatistics and diagnostic medicine by: (Electronic resources)

Bayesian disease mapping = hierarchical modeling in spatial epidemiology / by: (Electronic resources)

Bayesian evaluation of informative hypotheses by: (Electronic resources)

Bayesian reliability by: (Electronic resources)

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

Bayesian model selection and statistical modeling by: (Electronic resources)

Bayesian modeling in bioinformatics by: (Electronic resources)

Tackling the inverse problem for non-autonomous systems = application to the life sciences / by: (Electronic resources)

Bayesian essentials with R by: (Electronic resources)

Bayesian Theory and Applications by: (Electronic resources)

Bayesian filtering and smoothing / by: (Language materials, printed)

Bayesian networks in educational assessment by: (Electronic resources)

Bayesian model comparison by: (Electronic resources)

Bayesian nonparametric data analysis by: (Language materials, printed)

Nonparametric Bayesian inference in biostatistics by: (Electronic resources)

Bayesian methods : = a social and behavioral approach / by: (Language materials, printed)

Statistical rethinking : = a Bayesian course with examples in R and Stan / by: (Language materials, printed)

Current trends in Bayesian methodology with applications / by: (Language materials, printed)

Bayesian prediction and adaptive sampling algorithms for mobile sensor networks = online environmental field reconstruction in space and time / by: (Electronic resources)

Introduction to hierarchical Bayesian modeling for ecological data by: (Electronic resources)

Nonlinear mixture models = a Bayesian approach / by: (Electronic resources)

Prior processes and their applications = nonparametric bayesian estimation / by: (Electronic resources)

Bayesian inference = data evaluation and decisions / by: (Electronic resources)

The manual of strategic economic decision making = using Bayesian belief networks to solve complex problems / by: (Electronic resources)

Model choice in nonnested families by: (Electronic resources)

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

Process control system fault diagnosis : = a Bayesian approach / by: (Electronic resources)

Bayesian signal processing : = classical, modern, and particle filtering methods / by: (Electronic resources)

Benefits of Bayesian network models by: (Electronic resources)

Bayesian cost-effectiveness analysis with the R package BCEA by: (Electronic resources)

Bayesian data analysis for animal scientists = the basics / by: (Electronic resources)

Modelling proteasome dynamics in a Bayesian framework by: (Electronic resources)

Probabilistic finite element model updating using Bayesian statistics = applications to aeronautical and mechanical engineering / by: (Electronic resources)

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

Bayesian optimization and data science by: (Electronic resources)

Bayesian networks for reliability engineering by: (Electronic resources)

Enhanced Bayesian network models for spatial time series prediction = recent research trend in data-driven predictive analytics / by: (Electronic resources)

Likelihood and Bayesian inference = with applications in biology and medicine / by: (Electronic resources)

Bayesian analysis of demand under block rate pricing by: (Electronic resources)

Nonparametric Bayesian learning for collaborative robot multimodal introspection by: (Electronic resources)

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

Risk assessment and decision analysis with bayesian networks by: (Electronic resources)

Bayesian data analysis for the behavioral and neural sciences : = non-calculus fundamentals / by: (Language materials, printed)

Practice of Bayesian probability theory in geotechnical engineering by: (Electronic resources)

Bayesian and high-dimensional global optimization by: (Electronic resources)

Variational methods for machine learning with applications to deep networks by: (Electronic resources)

Bayesian compendium by: (Electronic resources)

Bayesian applications in pharmaceutical development by: (Electronic resources)

Mathematical theory of Bayesian statistics by: (Electronic resources)

An introduction to Bayesian inference, methods and computation by: (Electronic resources)

Development of clinical decision support systems using Bayesian networks = with an example of a multi-disciplinary treatment decision for laryngeal cancer / by: (Electronic resources)

Bayesian inference of state space models = Kalman filtering and beyond / by: (Electronic resources)

Probability and Bayesian modeling / by: (Language materials, printed)

Bayesian inference and computation in reliability and survival analysis by: (Electronic resources)

Probabilistic risk analysis and Bayesian decision theory by: (Electronic resources)

Bayesian statistical modeling with Stan, R, and Python by: (Electronic resources)

Bayesian tensor decomposition for signal processing and machine learning = modeling, tuning-free algorithms, and applications / by: (Electronic resources)

Bayesian real-time system identification = from centralized to distributed approach / by: (Electronic resources)

Bayesian scientific computing by: (Electronic resources)

Bayesian adaptive design for immunotherapy and targeted therapy by: (Electronic resources)

Introduction to Bayesian tracking and particle filters by: (Electronic resources)

Learning in the absence of training data by: (Electronic resources)

WAIC and WBIC with R Stan = 100 exercises for building logic / by: (Electronic resources)

Bayesian modeling and computation in Python by: (Electronic resources)

Bayesian theory / by: (Language materials, printed)

Bayesian analysis of time series and dynamic models / by: (Language materials, printed)

Bayesian approach to global optimization : = theory and applications / by: (Language materials, printed)

Tools for statistical inference : = methods for the exploration of posterior distributions and likelihood functions / by: (Language materials, printed)

Elements of Bayesian statistics / by: (Language materials, printed)

Modelling uncertain data / by: (Language materials, printed)

Bayesian analysis in statistics and econometrics : = essays in honor of Arnold Zellner / by: (Language materials, printed)

Likelihood, Bayesian, and MCMC methods in quantitative genetics / by: (Language materials, printed)

Robust Bayesian analysis / by: (Language materials, printed)

Subjective and objective Bayesian statistics : = principles, models, and applications / by: (Language materials, printed)

Bayesian inference : = parameter estimation and decisions / by: (Language materials, printed)

Bayesian nonparametrics / by: (Language materials, printed)

Monte Carlo methods in Bayesian computation / by: (Language materials, printed)

Bayesian implementation / by: (Language materials, printed)

Bayesian econometrics / by: (Language materials, printed)

Scientific reasoning : = the Bayesian approach / by: (Language materials, printed)

Applied Bayesian modeling and causal inference from incomplete-data perspectives : = an essential journey with Donald Rubin's statistical family / by: (Language materials, printed)

Contemporary Bayesian econometrics and statistics / by: (Language materials, printed)

Biostatistics : = a Bayesian introduction / by: (Language materials, printed)

Markov chain Monte Carlo : = innovations and applications / by: (Language materials, printed)

Bayesian econometric methods / by: (Language materials, printed)

Likelihood, Bayesian and MCMC methods in quantitative genetics by: (Language materials, printed)

Bayesian nonparametrics by: (Language materials, printed)

Bayesian approach to image interpretation by: (Language materials, printed)

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

Bayesian statistics = a review / by: (Language materials, printed)

Bayesian nonparametrics via neural networks by: (Language materials, printed)

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

Uncertain judgements : = eliciting experts' probabilities / by: (Language materials, printed)

Missing data in longitudinal studies : = strategies for Bayesian modeling and sensitivity analysis / by: (Language materials, printed)

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

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

Bayesian nonparametrics by: (Language materials, printed)

Probabilistic methods for bioinformatics = with an introduction to Bayesian networks / by: (Language materials, printed)

Likelihood, Bayesian and MCMC methods in quantitative genetics by: (Language materials, printed)

Bayesian ideas and data analysis : = an introduction for scientists and statisticians / by: (Language materials, printed)

Bayesian approach to interpreting archaeological data / by: (Language materials, printed)

Forecasting international migration in Europe = a bayesian view / by: (Electronic resources)

The Oxford handbook of Bayesian econometrics / by: (Language materials, printed)

Decision making with imperfect decision makers by: (Electronic resources)

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

Bayesian methods for measures of agreement by: (Electronic resources)

Bayesian modeling using WinBUGS / by: (Language materials, printed)

Bayesian inference = with ecological applications / by: (Electronic resources)

Bayesian rationality = the probabilistic approach to human reasoning / by: (Electronic resources)

Basic and advanced Bayesian structural equation modeling : = with applications in the medical and behavioral sciences / by: (Language materials, printed)

Bayesian Logical Data Analysis for the Physical Sciences. by: (Electronic resources)

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

Bayesian data analysis / by: (Language materials, printed)

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

Quitting Certainties = A Bayesian Framework Modeling Degrees of Belief / by: (Electronic resources)

Bayesian networks : = with examples in R / by: (Language materials, printed)

Bayesian phylogenetics : = methods, algorithms, and applications / by: (Language materials, printed)

The BUGS book : = a practical introduction to Bayesian analysis/ by: (Language materials, printed)

Bayesian disease mapping : = hierarchical modeling in spatial epidemiology / by: (Language materials, printed)

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

Bayesian analysis of failure time data using P-Splines by: (Electronic resources)

Case studies in bayesian statistical modelling and analysis by: (Electronic resources)

Regularization and Bayesian methods for inverse problems in signal and image processing by: (Electronic resources)

Applied Bayesian modelling by: (Electronic resources)

Doing Bayesian data analysis = a tutorial with R, JAGS, and stan / by: (Electronic resources)

Bayesian methods for the physical sciences = learning from examples in astronomy and physics / by: (Electronic resources)

Bayesian natural language semantics and pragmatics by: (Language materials, printed)

Bayesian inference for partially identified models : = exploring the limits of limited data / by: (Language materials, printed)

Bayesian methods for repeated measures / by: (Language materials, printed)

Bayesian psychometric modeling / by: (Language materials, printed)

Bayesian non- and semi-parametric methods and applications by: (Electronic resources)

Bayesian data analysis in ecology using linear models withR, Bugs, and Stan by: (Electronic resources)

Bayesian methods in the search for MH370 by: (Electronic resources)

Bayesian inference in the social sciences by: (Electronic resources)

Bayesian risk management = a guide to model risk and sequential learning in financial markets / by: (Electronic resources)

Spatial and spatio-temporal Bayesian models with R-INLA by: (Electronic resources)

Introduction to Bayesian estimation and copula models of dependence by: (Electronic resources)

Introduction to Bayesian statistics by: (Electronic resources)

The impact of economic freedom on state legitimacy = an empirical investigation / by: (Electronic resources)

Modern Bayesian statistics in clinical research by: (Electronic resources)

Cognitive fusion for target tracking / by: (Electronic resources)

Bayesian networks for managing learner models in adaptive hypermedia systems = emerging research and opportunities / by: (Electronic resources)

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

Machine learning = a Bayesian and optimization perspective / by: (Electronic resources)

Bayesian optimization with application to computer experiments by: (Electronic resources)

Case studies in applied Bayesian data science = CIRM Jean-Morlet Chair, Fall 2018 / by: (Electronic resources)

Introduction to Bayesian methods in ecology and natural resources by: (Electronic resources)

The equation of knowledge : = from Bayes' rule to a unified philosophy of science / by: (Language materials, printed)

Multi-level bayesian models for environment perception by: (Electronic resources)

Test data engineering = latent rank analysis, biclustering, and Bayesian network / by: (Electronic resources)

Genomics data analysis = false discovery rates and empirical Bayes methods / by: (Electronic resources)

Bayesian thinking in biostatistics / by: (Language materials, printed)

Bayesian methods for interaction and design by: (Electronic resources)

Statistical modeling using Bayesian latent Gaussian models = with applications in geophysics and environmental sciences / by: (Electronic resources)

In defence of objective Bayesianism by: (Electronic resources)

Bayesian smoothing and regression for longitudinal, spatial and event history data by: (Electronic resources)

Machine learning = a Bayesian and optimization perspective / by: (Electronic resources)

Maximizing information system availability through Bayesian belief network approaches = emerging research and opportunities / by: (Electronic resources)