Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

This article discusses the three most common reliability prediction techniques for the failure rates of ICs and how safety application notes provide such failure-rate information... 1. FMEA and its ...

Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas including investing, insurance portfolio management, finance and accounting, personal investment and financial ...

Michael Boyle is an experienced financial professional with more than 10 years working with financial planning, derivatives, equities, fixed income, project management, and analytics. The additional ...

Abstract: In Part II of this article we discuss the impact of a discrete treatment of traps on 3-D NAND Flash random telegraph noise (RTN). A higher RTN results when discrete traps are taken into ...

Abstract: Utilizing deep learning techniques for spacecraft pose estimation enables using low-cost sensors like monocular cameras. However, the existing methods have drawbacks, such as complex models ...

Pishro-Nik's: Introduction to Probability, Statistics and Random Processes is a very accessible introductory probability and statistics book at a level of an undergraduate math/computer ...

This repository contains an analysis of the commonly recommended books for learning probability and statistics from around the web. One thing to keep in mind is that advanced mathematics in areas like ...