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

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

- Authority link
- http://id.worldcat.org/fast/00829019

- Source
- fast

## Context

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

No resources found

No enriched resources found

- A first course in Bayesian statistical methods
- An introduction to Bayesian analysis : theory and methods
- Applied Bayesian modelling
- 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
- Applied statistical inference : likelihood and Bayes
- Bayes' rule : a tutorial introduction to Bayesian analysis
- Bayesian Methods for Hackers : Probabilistic Programming and Bayesian Inference
- Bayesian analysis
- Bayesian analysis of capture-recapture model and diagnostic test in clinical trials
- Bayesian analysis of fMRI data and RNA-seq time course experiment data
- Bayesian analysis of stochastic process models
- Bayesian analysis of stochastic process 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 core : a practical approach to computational Bayesian statistics
- Bayesian data analysis
- Bayesian data analysis
- Bayesian essentials with R
- Bayesian estimation and tracking : a practical guide
- Bayesian evaluation of informative hypotheses
- Bayesian filtering and smoothing
- Bayesian inference for partially identified models : exploring the limits of limited data
- Bayesian item response modeling : theory and applications
- Bayesian methods : a social and behavioral sciences approach
- Bayesian methods : a social and behavioral sciences approach
- Bayesian methods for hackers : probabilistic programming and Bayesian inference
- Bayesian methods in health economics
- Bayesian methods in structural bioinformatics
- Bayesian methods in the search for MH370
- 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 probability theory : applications in the physical sciences
- Bayesian psychometric modeling
- 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 statistical methods
- Bayesian statistics : an introduction
- Bayesian statistics for the social sciences
- Bayesian statistics the fun way : understanding statistics and probability with Star Wars, LEGO, and rubber ducks
- Bayesian theory and methods with applications
- Bringing Bayesian models to life
- Case studies in Bayesian statistical modelling and analysis
- Case studies in applied Bayesian data sciences
- Current trends in Bayesian methodology with applications
- 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
- Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger
- Fundamentals of nonparametric Bayesian inference
- 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 applied Bayesian statistics and estimation for social scientists
- Let the evidence speak : using Bayesian thinking in law, medicine, ecology and other areas
- Machine learning : a Bayesian and optimization perspective
- Machine learning : a Bayesian and optimization perspective
- 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
- Multiscale modeling : a Bayesian perspective
- Nonlocal priors for Bayesian variable selection in generalized linear models and generalized linear mixed models and their applications in biology data
- Nonparametric Bayesian inference in biostatistics
- Practical applications of Bayesian reliability
- Prior processes and their applications : nonparametric Bayesian estimation
- Probabilistic forecasting and Bayesian data assimilation
- Probabilistic graphical models : 7th European Workshop, PGM 2014, Utrecht, the Netherlands, September 17-19, 2014. Proceedings
- Probabilistic methods for bioinformatics : with an introduction to Bayesian networks
- Probabilistic modeling in bioinformatics and medical informatics
- Rational decisions
- Reasoning with probabilistic and deterministic graphical models : exact algorithms
- Risk assessment and decision analysis with Bayesian networks
- 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
- Strategic economic decision-making : using bayesian belief networks to solve complex problems
- The Bayesian choice : from decision-theoretic foundations to computational implementation
- The contribution of young researchers to Bayesian statistics : proceedings of BAYSM2013
- The theory that would not die : how Bayes' rule cracked the enigma code, hunted down Russian submarines, & emerged triumphant from two centuries of controversy
- The value of information updating in new product development
- Think Bayes

## Embed

### Settings

Select options that apply then copy and paste the RDF/HTML data fragment to include in your application

Embed this data in a secure (HTTPS) page:

Layout options:

Include data citation:

<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/Eym2p6SpZqI/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/Eym2p6SpZqI/">Bayesian statistical decision theory</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>

Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements

### Preview

## Cite Data - Experimental

### Data Citation of the Concept Bayesian statistical decision theory

Copy and paste the following RDF/HTML data fragment to cite this resource

`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/Eym2p6SpZqI/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/Eym2p6SpZqI/">Bayesian statistical decision theory</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`