Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

The paper’s layout is as follows: Section 2 presents the mathematical basis of convolution. Section 3, discusses the method of cumulants to calculate the curves of RP of compound events using the ...

We propose a computing method for linear convolution between sequences using discrete cosine transform (DCT). Zero padding is considered as well as linear convolution using discrete Fourier transform ...

Circular convolution can be computed faster than linear convolution using the FFT, but it may introduce unwanted effects such as time aliasing and spectral leakage.

The method does not require linearization of differential equations because it is a method of directly solving some non-linear physical models. A wide and general class of modern examples representing ...

A new method based on Variational Bayesian Inference to infer causality from time series was proposed in Luessi et al. (2014). The method uses a vector autoregressive model for the latent variables ...