We consider the problem of estimating the regression function in functional linear regression models by proposing a new type of projection estimators which combine
Most existing studies of website characteristics and their impact on intentions have assumed a linear relationship between them. However, motivational theories suggest that while ...
We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models ...
In this demo, we present the StreamFitter system for real-time regression analysis on continuous data streams. In order to perform regression on data streams, it is necessary to co...
Chandima H. Nadungodage, Yuni Xia, Fang Li, Jaehwa...
Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...