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We address the common problem of calculating intervals in the presence of systematic uncertainties. We aim to investigate several approaches, but here describe just a Bayesian technique for setting ...

UHPLC–QTOF-MS and machine learning were used to identify stable biomarkers for PMI estimation, achieving 3–6 hour accuracy. Identified metabolites include amino acids and nucleotides, with potential ...

This example illustrates the use of the new class QuantileConfidence based on data and has IMO some room for improvement: The sample is defined through a long cell with one point per row, which is not ...

Mathematics Department, Egerton University, Njoro Nakuru, Kenya. Bayesian techniques have been applied in many epidemiological settings, such as disease monitoring, outbreak simulation, and prevalence ...

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.

For borrowers to receive a clear and detailed guide of all the costs and fees of taking a mortgage, the law requires mortgage companies to provide an estimate of those charges. This was originally ...

Abstract: This paper studies the problem of interval estimation for systems with nonlinear equality constraints and unknown but bounded uncertainties. An iterative zonotope-based method is presented ...