Probability Distribution Methods to Predict Stock Profits

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
IEEE

SMC for Discrete-Time Networked Semi-Markovian Switching Systems With Random DoS Attacks and Applications

Abstract: This article concentrates on the discrete-time sliding mode control (DTSMC) problem for uncertain networked semi-Markovian switching systems (S-MSSs) under random denial-of-service (DoS) ...
eLife

Human brain dynamics and spatiotemporal trajectories during threat processing

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...
Investopedia

Bell Curve: Definition, How It Works, and Example

Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced ...
IEEE

Performance On The Discrete Variable Based Satellite-to-Ground Quantum Key Distribution Links

Abstract: This paper focuses on evaluating the available secure key lengths of the satellite-to-ground quantum key distribution (QKD) systems under multiple scenarios. The finite-length secure key ...
GitHub

A novel generative model with simple principles and unique properties

We introduce a novel generative model: Discrete Distribution Networks (DDN). DDN employs a simple yet unique approach to model the target distribution, distinctly different from mainstream generative ...
GitHub

2023 TGRS Attenuation of Seismic Random Noise With Unknown Distribution: A Gaussianization Framework

This repo contains the official implementation for the paper Attenuation of Seismic Random Noise With Unknown Distribution:A Gaussianization Framework by Chuangji Meng, Jinghuai Gao∗, Yajun Tian, ...