no code implementations • 17 Nov 2022 • Rendani Mbuvha, Julien Yise Peniel Adounkpe, Wilson Tsakane Mongwe, Mandela Houngnibo, Nathaniel Newlands, Tshilidzi Marwala
We show by simulating missingness in a testing period that GESS forecasts have a significant bias that results in low predictive skill over the ten Beninese stations.
no code implementations • 5 Jul 2021 • Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
The Riemannian Manifold Hamiltonian Monte Carlo algorithm improves on Hamiltonian Monte Carlo by taking into account the local geometry of the target, which is beneficial for target densities that may exhibit strong correlations in the parameters.