Remarkably little is known about the higher-order folding motifs of the chromatin fiber inside the cell nucleus. Folding depends among others on local gene density and transcriptional activity and plays an important role in gene regulation. Strikingly, at fiber lengths above 5 to 10 Mb the measured mean square distance between any two points on the chromatin fiber is independent of polymer...

Bayesian model averaging (BMA) weights the inferences produced by a set of competing models, using as weights the models posterior probabilities. An open problem of BMA is how to set the prior probability of the models. Credal model averaging (CMA) is a credal ensemble of Bayesian models, which generalizes BMA by substituting the single prior over the models by a set of priors. The base models ...

This study investigated the strength and limitations of two widely used multi-model averaging frameworks—Bayesian model (BMA) reliability ensemble (REA), in post-processing runoff projections derived from coupled hydrological models climate downscaling models. The performance weight distributions five ensembles were thoroughly compared, including simple equal-weight averaging, BMA, REAs optimiz...

Abstract. When working with hydrological data, the ability to quantify similarity of different datasets is useful. The choice how make this quantification has a direct influence on results, measures emphasising particular sources error (for example, errors in amplitude as opposed displacements time and/or space). Wasserstein distance considers mass distributions through transport lens. In conte...

The multimodel ensemble exercise performed within the HTAP project context (Fiore et al., 2009) is used here as an example of how a pre-inspection, diagnosis and selection of an ensemble, can produce more reliable results. The procedure is contrasted with the often-used practice of simply averaging model simulations, assuming different models produce independent results, and using the diversity...

Continuous cardiac monitoring has been developed to evaluate cardiac activity outside of clinical environments due to the advancement of novel instruments. Seismocardiography (SCG) is one of the vital components that could develop such a monitoring system. Although SCG has been presented with a lower accuracy, this novel cardiac indicator has been steadily proposed over traditional methods such...