Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Today we're looking at HyperLogLog, an algorithm that leverages random chance to count the number of distinct items are in a dataset. It does this by tracking the longest run of zeros in a binary ...

Abstract: We extend network tomography to traffic flows that are not necessarily Poisson random processes. This assumption has governed the field since its inception in 1996 by Y. Vardi. We allow the ...

This is an excellent job. Currently, I would like to complete and implement some of my ideas through your library. I am learning how to use HMC to build BPINN, looking at forward examples of posts can ...

A random variable is a variable whose possible values are numerical outcomes of a random phenomenon. It is a fundamental concept in probability and statistics, used to quantify and analyze random ...

A discrete random variable is a type of random variable that can only take on a countable number of distinct values. A discrete random variable is a variable whose possible values are distinct and ...

1 Polytechnic Department of Engineering and Architecture, University of Udine, Udine, Italy 2 Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy ...