This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Abstract: Cybercrime has emerged as a pervasive global issue, impacting nations worldwide. In response to this growing threat, we aimed to develop a data-driven framework for national cybersecurity ...

Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...

A British-flagged luxury superyacht that sank off Sicily last year, killing UK tech magnate Mike Lynch and six others, completed its final trip to the Sicilian port of Termini Imerese Sunday, a day ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

Bayesian analysis is being used with increasing frequency in critical care research and brings advantages and disadvantages compared to traditional Frequentist techniques. This study overviews this ...

President Donald Trump’s 2024 victory rested on support from voters who are less engaged with politics, an assessment of the election based on newly available voter file data confirms, as Democratic ...

A James Bond-esque mission to recover highly sensitive secret files held in safes aboard the sunken super-yacht Bayesian was reportedly carried out by UK intelligence service MI6 before Italian divers ...

Stable distributions are well-known for their desirable properties and can effectively fit data with heavy tail. However, due to the lack of an explicit probability density function and finite second ...