Abstract: Recent advances in electric metering infrastructure have given rise to the generation of gigantic chunks of data. Transmission of all of these data certainly poses a significant challenge in ...

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data ...

Be honest, when was the last time you had your blood pressure checked? No, really? The health marker is something many of us gloss over, and it's easy to skim through the years completely unaware of ...

Abstract: Normal operating zones (NOZs) are the variation spaces of multiple related variables under normal conditions. This paper proposes a search-cone-based method to establish NOZ models and ...

I was trying to achieve backprop through the parameters of a multivariate normal distributions something like pathwise derivative. import numpy as np import torch from torch.autograd import Variable ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used for several ...

A multivariate Student’s t-distribution is derived by analogy to the derivation of a multivariate normal (Gaussian) probability density function. This multivariate Student’s t-distribution can have ...