262 Lev V. Utkin and Frank PA Coolen sources. Some of them may be objective measures
based on relative frequencies or on well-established statistical models. A part of the …

This paper consists of three main parts. First, we give an introduction to Hill's assumption A
(n) and to theory of interval probability, and an overview of recently developed theory and …

The survival signature has recently been presented as an attractive concept to aid
quantification of system reliability. It has similar characteristics as the system signature …

A new robust algorithm based on the explanation method SurvLIME called SurvLIME-KS is
proposed for explaining machine learning survival models. The algorithm is developed to …

Abstract Theory of imprecise probability generalizes classical probability theory, by
assigning to each event an interval instead of a single number. In this paper, we briefly …

Different representations of imprecise probabilities have been proposed, where interval-
valued probabilities are used such that uncertainty is distinguished from variability. In this …

A smoothed bootstrap method is introduced for right-censored data based on the right-
censoring-A (n) assumption introduced by Coolen and Yan, which is a generalization of …

Nonparametric Predictive Inference (NPI) is a statistical methodology based on Hill's
assumption A (n)[30], which gives a direct conditional probability for a future observable …

Background Metagenomic assembly is a challenging problem due to the presence of
genetic material from multiple organisms. The problem becomes even more difficult when …

This paper presents nonparametric predictive inference for system reliability following
common-cause failures of components. It is assumed that a single failure event may lead to …