Abstract Motivation Genomic prediction is now an essential technique in breeding and medicine, it interesting to see how omics data can be used improve accuracy. Precedent work proposed a metabolic network-based method biomass of Arabidopsis; however, the consists multiple steps that possibly degrade Results We Bayesian model integrates all jointly infers fluxes reactions related production. Th...

Abstract In this study, pre- and postprocessing of hydrological ensemble forecasts are evaluated with a special focus on floods for 119 Norwegian catchments. Two years ECMWF temperature precipitation lead time up to 9 days were used force the operational HBV model establish streamflow forecasts. A Bayesian averaging processing approach was applied preprocess Ensemble generated eight schemes bas...

Bayesian model comparison frameworks can be used when fitting models to data in order infer the appropriate complexity a data-driven manner. We aim use them detect correct number of major episodes star formation from analysis spectral energy distributions (SEDs) galaxies, modeled after 3D-HST galaxies at z ~ 1. Starting published stellar population properties these we kernel density estimates b...

The Lomax distribution is an important member in the family. In this paper, we systematically develop objective Bayesian analysis of data from a distribution. Noninformative priors, including probability matching maximal information (MDI) prior, Jeffreys prior and reference are derived. propriety posterior under each subsequently validated. It revealed that MDI one priors yield improper posteri...