Advanced Bayesian Methods: Assessing Convergence

Katz, Gabriel (2021) Advanced Bayesian Methods: Assessing Convergence. [Video]

Full text not available from this repository.

Abstract

In this video, Associate Professor Gabriel explores convergence and how it can be assessed when estimating models in a Bayesian fashion using modern Bayesian computational approaches. This includes using trace plots and multiple or single chains starting from different initial values.

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 > 5.17 Quantitative Approaches (other)
Depositing User: NCRM users
Date Deposited: 05 Jan 2022 12:03
Last Modified: 05 Jan 2022 12:03
URI: https://eprints.ncrm.ac.uk/id/eprint/4493

Actions (login required)

View Item
View Item