Computing Bayes Factors by Combining Simulation and Asymptotic Approximations
Thomas J. DiCiccio, Robert E. Kass, Adrian E. Raftery, Larry Wasserman
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- Model-Based Clustering, Discriminant Analysis, and Density Estimation→Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsLegacy edge — source detail unavailable
- AIC model selection using Akaike weights→Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsLegacy edge — source detail unavailable
- Bayesian Model Averaging for Linear Regression Models→Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsLegacy edge — source detail unavailable
- Model Selection: An Integral Part of Inference→Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsLegacy edge — source detail unavailable
- A Tutorial on Learning with Bayesian Networks→Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsLegacy edge — source detail unavailable
- Bayesian Cognitive Modeling: A Practical Course→Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsLegacy edge — source detail unavailable
- Computing Bayes Factors by Combining Simulation and Asymptotic Approximations→Marginal Likelihood from the Gibbs OutputLegacy 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
- Computing Bayes Factors by Combining Simulation and Asymptotic Approximations→Journal of Computational and Graphical StatisticsLegacy edge — source detail unavailable
- A Tutorial on Learning with Bayesian Networks→Marginal Likelihood from the Gibbs OutputLegacy edge — source detail unavailable
- AIC model selection using Akaike weights→Model Selection: An Integral Part of InferenceLegacy edge — source detail unavailable
- Marginal Likelihood from the Gibbs Output→Approximate Bayesian Inference with the Weighted Likelihood BootstrapLegacy edge — source detail unavailable
- Bayesian Cognitive Modeling: A Practical Course→Marginal Likelihood from the Gibbs OutputLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Marginal Likelihood from the Gibbs Output | 1995 | 1,828 |
| Approximate Bayesian Inference with the Weighted Likelihood Bootstrap | 1994 | 1,522 |
| Journal of Computational and Graphical Statistics | 2014 | 1,433 |
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Topics
| Bayesian Methods and Mixture Models | Computer Science |
| Statistical Methods and Bayesian Inference | Mathematics |
| Statistical Methods and Inference | Mathematics |
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