Fast sampling and model selection for Bayesian mixture models
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DOI: 10.1007/s11222-025-10753-0
Abstract: We study Bayesian estimation of mixture models and argue in favor of fitting the marginal posterior distribution over component assignments directly, rather than Gibbs sampling from the joint posterior on components and parameters as is… read more here.
Keywords: model selection; mixture models; mixture; fast sampling ... See more keywords
Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales
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DOI: 10.5194/npg-2019-26
Abstract: Abstract. Ideally, perturbation schemes in ensemble forecasts should be based on the statistical properties of the model errors. Often, however, the statistical properties of these model errors are unknown. In practice, the perturbations are pragmatically… read more here.
Keywords: model errors; deep convection; sampling model; model ... See more keywords