Marginal Likelihood from the Gibbs Output
Siddhartha Chib low
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- Dynamic bayesian networks: representation, inference and learning→Marginal Likelihood from the Gibbs OutputLegacy edge — source detail unavailable
- Computing Bayes Factors by Combining Simulation and Asymptotic Approximations→Marginal Likelihood from the Gibbs OutputLegacy edge — source detail unavailable
- A Tutorial on Learning with Bayesian Networks→Marginal Likelihood from the Gibbs OutputLegacy edge — source detail unavailable
- Finite Mixture and Markov Switching Models→Marginal Likelihood from the Gibbs OutputLegacy edge — source detail unavailable
- Bayesian Cognitive Modeling: A Practical Course→Marginal Likelihood from the Gibbs OutputLegacy edge — source detail unavailable
- Marginal Likelihood from the Gibbs Output→Multivariate Density EstimationLegacy edge — source detail unavailable
- Marginal Likelihood from the Gibbs Output→Approximate Bayesian Inference with the Weighted Likelihood BootstrapLegacy edge — source detail unavailable
- A Tutorial on Learning with Bayesian Networks→Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsLegacy edge — source detail unavailable
- Computing Bayes Factors by Combining Simulation and Asymptotic Approximations→Approximate Bayesian Inference with the Weighted Likelihood BootstrapLegacy edge — source detail unavailable
- Dynamic bayesian networks: representation, inference and learning→A Tutorial on Learning with Bayesian NetworksLegacy edge — source detail unavailable
- Bayesian Cognitive Modeling: A Practical Course→Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Multivariate Density Estimation | 1992 | 3,718 |
| Approximate Bayesian Inference with the Weighted Likelihood Bootstrap | 1994 | 1,522 |
What cites it, inside the corpus
Links
Topics
| Bayesian Methods and Mixture Models | Computer Science |
| Statistical Methods and Bayesian Inference | Mathematics |
| Gaussian Processes and Bayesian Inference | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports1 author record(s) attached.
- supports37 reference(s) recorded.
- supportsThe DOI's year agrees with the publication year.
- supportsA title is present.
Provenance
sha256 db1645b78a57e29a…