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stat.ME2019
On the marginal likelihood and cross-validation
Edwin Fong, Chris Holmes
In Bayesian statistics, the marginal likelihood, also known as the evidence, is used to evaluate model fit as it quantifies the joint probability of the data under the prior. In co…
stat.ME2017★ 26 cited
Assigning a value to a power likelihood in a general Bayesian model
Chris Holmes, Stephen Walker
Bayesian approaches to data analysis and machine learning are widespread and popular as they provide intuitive yet rigorous axioms for learning from data; see Bernardo and Smith (2…