In the modern field of deep learning, linear attention mechanisms are gradually becoming a powerful tool for handling long sequence data. Recent research has revealed how these mechanisms 'decay' ...

After fitting survival data with a linear regression model, it is important to know how to use the results to make prediction of the t-year survival probability or median failure time for future ...

We study linear smoothers and their use in building nonparametric regression models. In the first part of this paper we examine certain aspects of linear smoothers for scatterplots; examples of these ...