Скачать или смотреть Can The Likelihood Function Be Misspecified In Bayesian Models?

This video tackles a fundamental question in Bayesian statistics: what happens when your likelihood function doesn't quite match reality? We explore the nuances of likelihood misspecification within Bayesian models and its potential impact on your inferences.

In this discussion, we cover:
► Understanding the concept of likelihood function in Bayesian modeling.
► The theoretical implications of misspecification on posterior distributions.
► Practical considerations and potential pitfalls for statisticians.
► Strategies and robust methods to address or mitigate misspecification.
► The importance of model checking and sensitivity analysis.


#BayesianStatistics, #LikelihoodFunction, #StatisticalModeling, #DataScience