We describe a Bayesian methodology to evaluate the consistency between the reported Ginga and BATSE detections of absorption features in gamma ray burst spectra. Currently no features have been detected by BATSE, but this methodology will still be applicable if and when such features are discovered. The Bayesian methodology permits the comparison of hypotheses regarding the two detectors' obser...

The Weibull distribution has been widely used in survival and engineering reliability analysis. In life testing experiments is fairly common practice to terminate the experiment before all the items have failed, that means the data are censored. Thus, the main objective of this paper is to estimate the reliability function of the Weibull distribution with uncensored and censored data by using B...

The world is facing economic, as well social, crisis due to the COVID-19 pandemic. Implementing sustainable practices one of possible ways address these issues. Adopting circular oriented techniques throughout supply chain not only guarantees economic profitability, but also provides an edge organization in market fierce global competition. concept implementing circularity novel and dynamic nat...

the weibull distribution has been widely used in survival and engineering reliability analysis. in life testing experiments is fairly common practice to terminate the experiment before all the items have failed, that means the data are censored. thus, the main objective of this paper is to estimate the reliability function of the weibull distribution with uncensored and censored data by using b...

This article introduces some of the most popular techniques of data integration, that allow the combination of information coming from various sources. The illustration focuses, in particular, on the Bayesian generalized Heckman methodology and on the data calibration methodology based on vines and nonparametric Bayesian networks.

In this paper the blind image deconvolution (BID) problem is solved using the Bayesian framework. In order to find the parameters of the proposed Bayesian model we present a new generalization of the expectation maximization (EM) algorithm based on the variational approximation methodology. The proposed variational-based algorithm for BID can be derived in closed form and can be implemented in ...

In this paper the fault detection problem is solved using an alternative methodology based on a fuzzy/Bayesian strategy combining a Bayesian network and the fuzzy set theory. The new important issue in this proposed methodology is to address uncertainties in the input of the Bayesian Network. This contribution is possible since the fuzzy set theory is used as the knowledge representation. To il...