ABSTRACT We develop a Bayesian model that jointly constrains receiver calibration, foregrounds, and cosmic 21 cm signal for the EDGES global experiment. This simultaneously describes calibration data taken in lab along with sky-data low-band antenna. apply our to same (both sky calibration) used report evidence first star formation 2018. find does not contribute significant uncertainty inferred...

This paper proposes a probabilistic framework for semantic video indexing. The components of the framework are multijects and multinets. Multijects are probabilistic multimedia objects [6] representing semantic features or concepts. A multinet is a probabilistic network of multijects which accounts for the interaction between concepts. The main contribution of this paper is the application of a...

Use of risk adjusted control charts for monitoring patients’ surgical outcomes is now popular.These charts are developed based on considering the patient’s pre-operation risks. Change point detection is a crucial problem in statistical process control (SPC).It helpsthe managers toanalyzeroot causes of out-of-control conditions more effectively. Since the control chart signals do not necessarily...

Abstract: The Exponentiated Gumbel (EG) distribution has been proposed to capture some aspects of the data that the Gumbel distribution fails to specify. In this paper, we estimate the EG's parameters in the Bayesian framework. We consider a 2-level hierarchical structure for prior distribution. As the posterior distributions do not admit a closed form, we do an approximated inference by using ...

In this article, we propose a new method for selecting level dependent threshold in wavelet shrinkage using the empirical Bayes framework. We employ both Bayesian and frequentist testing hypothesis instead of point estimation method. The best test yields the best prior and hence the more appropriate wavelet thresholds. The standard model functions are used to illustrate the performance of the p...