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-censori...
Predicting the performance of a system before it is built is a highly desirable goal, but one that is rarely achieved. This paper examines performance problems and issues within in...
Background: DNA microarray technology has emerged as a major tool for exploring cancer biology and solving clinical issues. Predicting a patient's response to chemotherapy is...
This paper starting from the very first principle presents a derivation of an equation estimating of the final prediction error for a neural network under the recursive least squa...
We show that the Brier game of prediction is mixable and find the optimal learning rate and substitution function for it. The resulting prediction algorithm is applied to predict...