Keywords
Bayesian probabilityComputer scienceDecision theoryArtificial intelligenceEconometricsStatisticsMathematics
Affiliated Institutions
Related Publications
Latent Class Model Diagnosis
Summary. In many areas of medical research, such as psychiatry and gerontology, latent class variables are used to classify individuals into disease categories, often with the i...
Practical Bayesian Density Estimation Using Mixtures of Normals
Abstract Mixtures of normals provide a flexible model for estimating densities in a Bayesian framework. There are some difficulties with this model, however. First, standard ref...
Some Concepts of Dependence
Problems involving dependent pairs of variables $(X, Y)$ have been studied most intensively in the case of bivariate normal distributions and of $2 \\times 2$ tables. This is du...
Inference from Iterative Simulation Using Multiple Sequences
The Gibbs sampler, the algorithm of Metropolis and similar iterative simulation methods are potentially very helpful for summarizing multivariate distributions. Used naively, ho...
Publication Info
- Year
- 1985
- Type
- book
- Citations
- 7717
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
7717
OpenAlex
Cite This
James O. Berger
(1985).
Statistical Decision Theory and Bayesian Analysis.
Springer series in statistics
.
https://doi.org/10.1007/978-1-4757-4286-2
Identifiers
- DOI
- 10.1007/978-1-4757-4286-2