Nonparametric predictive inference (NPI) is a statistical method based on Hillâ€™s assumption A(n) [13], which gives a direct conditional probability for a future observable random quantity,â€¦ (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 systemsâ€™â€¦ (More)

This paper consists of three main parts. First, we give an introduction to Hillâ€™s assumption A(n) and to theory of interval probability, and an overview of recently developed theory and methods forâ€¦ (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 pastâ€¦ (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 forâ€¦ (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 wellâ€¦ (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. Comparisonâ€¦ (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 unitâ€¦ (More)