Meta-Learning for Bayesian Computation in Survival Analysis: A Machine Learning Framework for Intelligent Bayesian Algorithm Recommendation
Bayesian computation for survival analysis often involves selecting among alternative Markov chain Monte Carlo (MCMC) algorithms whose performance can vary substantially with the characteristics of the data and model. In practice, this selection is frequently based on trial and error, requiring repeated model fitting a...