Interferometers (e.g. ALMA and NOEMA) allow us to obtain the detailed brightness distribution of astronomical sources in 3 dimensions (R.A., Dec., frequency). However, spatial correlation noise makes it difficult evaluate statistical uncertainty measured quantities significance results obtained. The properties interferometric image are fully characterized easily by autocorrelation function (ACF...

This paper develops a Hierarchical Bayesian Modeling (HBM) framework for uncertainty quantification of Finite Element (FE) models based on modal information. uses an existing Fast Fourier Transform (FFT) approach to identify experimental parameters from time-history data and employs class maximum-entropy probability distributions account the mismatch between parameters. It also considers parame...

Researchers who study punishment and social control, like those who study other social phenomena, typically seek to generalize their findings from the data they have to some larger context: in statistical jargon, they generalize from a sample to a population. Generalizations are one important product of empirical inquiry. Of course, the process by which the data are selected introduces uncertai...

Uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. The objective of this study is to develop and apply a Bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in Zidasht catchment, Iran....

In this paper the appropriate background in Mathematics and Statistics is considered in developing methods to investigate Risk Analysis problems associated with Environmental Economics uncertainty. New senses of uncertainty are introduced and a number of sources of uncertainty are discussed and presented. The causes of uncertainty are recognized helping to understand how they affect the adopted...

In contrast to conventional conditional mean approaches, this study uses quantile regression techniques to present some new statistical evidence on the link between inflation uncertainty and the level of inflation with cross sectional data in 161 countries for period from 1961-2002. We find new evidence that suggests positive inflation shocks have stronger impacts on inflation uncertainty acros...

Calibration of forcefields for molecular simulation should account for the measurement uncertainty of the reference dataset and for the model inadequacy, i.e., the inability of the force-field/simulation pair to reproduce experimental data within their uncertainty range. In all rigour, the resulting uncertainty of calibrated force-field parameters is a source of uncertainty for simulation predi...