Advanced Bayesian Methods: Gibbs Sampling
Katz, Gabriel (2021) Advanced Bayesian Methods: Gibbs Sampling. [Video]
Full text not available from this repository.
Official URL: https://www.youtube.com/watch?v=2ff_Dm41Tx4
Abstract
In this video, Dr Gabriel Katz presents two key approaches to Bayesian simulation: the Gibbs sampler and Metropolis Hastings.
He then illustrates how these can be used to break down a complicated problem into a series of issue conditional problems.
| Item Type: | Video |
|---|---|
| Subjects: | 5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference 5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference > 5.2.5 Bayesian methods 5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference > 5.2.6 Markov Chain Monte Carlo (MCMC) 7. ICT and Software > 7.2 Quantitative Software 7. ICT and Software > 7.2 Quantitative Software > 7.2.6 R |
| Depositing User: | NCRM users |
| Date Deposited: | 09 Jan 2022 19:59 |
| Last Modified: | 09 Jan 2022 19:59 |
| URI: | https://eprints.ncrm.ac.uk/id/eprint/4509 |
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