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Found 4 papers, 3 papers with code
Unbiased estimator for the variance of the leave-one-out cross-validation estimator for a Bayesian normal model with fixed variance
We show that it is possible to construct an unbiased estimator considering a specific predictive performance measure and model.
Methodology
Uncertainty in Bayesian Leave-One-Out Cross-Validation Based Model Comparison
We show that it is possible that the problematic skewness of the error distribution, which occurs when the models make similar predictions, does not fade away when the data size grows to infinity in certain situations.
Methodology
Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models
The future predictive performance of a Bayesian model can be estimated using Bayesian cross-validation.
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data
A common divide-and-conquer approach for Bayesian computation with big data is to partition the data, perform local inference for each piece separately, and combine the results to obtain a global posterior approximation.
