Nonparametric predictive inference (NPI) is a statistical method based on Hill’s assumption A(n) [13], which gives a direct conditional probability for a future observable random quantity,… (More)
The concept of signature was introduced to simplify quantification of reliability for coherent systems and networks consisting of a single type of components, and for comparison of such systems’… (More)
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 methods for… (More)
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apart from the past… (More)
Nonparametric Predictive Inference (NPI) is a general methodology to learn from data in the absence of prior knowledge and without adding unjustified assumptions. This paper develops NPI for… (More)
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, which is well… (More)
We present the application of a recently introduced nonparametric predictive inferential method to compare two groups of data, consisting of observed event times and right-censoring times. Comparison… (More)
The nonparametric predictive inference (NPI) approach for competing risks data has recently been presented, in particular addressing the question due to which of the competing risks the next unit… (More)