To transform or not to transform: using generalized linear mixed models to analyse reaction time data Steson Lo * Sally Andrews School of Psychology, University of Sydney, Sydney, NSW, Australia ...

The linear transform model predicts that the fMRI response should sum over time. For example, the fMRI response to a 12-s stimulus should be the same as that to two 6-s stimuli.

Transforming light: illustration of how an arbitrary linear transform can be achieved in an all-optical system using diffractive surfaces (Courtesy: Ozcan Lab/UCLA) Researchers in the US have shown ...

With microarray data being dramatically accumulated, integrating data from related studies represents a natural way to increase sample size so that more reliable statistical analysis may be performed.

The linear canonical transform (LCT) is a versatile integral transform that generalises classical transforms such as the Fourier, fractional Fourier, and Fresnel transforms. By utilising four ...

Linear canonical transform (LCT) is a four-parameter (a,b,c,d) class of linear integral transform. It has been the focus of many research papers. In this paper, we show that the linear canonical ...

This is a zip containing the codes and data for the 'Simulation Studies' and 'Real data application' sections in the paper 'Deep Partially Linear Transformation Model for Right-Censored Survival Data' ...