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stat.ME2016
Predictive Inference Based on Markov Chain Monte Carlo Output
Fabian Krüger, Sebastian Lerch, Thordis L. Thorarinsdottir +1
In Bayesian inference, predictive distributions are typically in the form of samples generated via Markov chain Monte Carlo (MCMC) or related algorithms. In this paper, we conduct…
stat.ME2016★ 69 cited
Combining predictive distributions for statistical post-processing of ensemble forecasts
Sándor Baran, Sebastian Lerch
Statistical post-processing techniques are now widely used to correct systematic biases and errors in calibration of ensemble forecasts obtained from multiple runs of numerical wea…