2 problems

For Bayesian models such as deep Gaussian processes, the paper distinguishes fractional posteriors with likelihood power $\rho<1$ from the ordinary posterior with $\rho=1$. Ordinar…

The paper studies heavy-tailed priors and proves convergence results for fractional posteriors, including results for density estimation and classification. The standard posterior…