Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
1 Economic and Technical Research Institute of State Grid Shaanxi Electric Power Company, Xi’an, China 2 Shaanxi Local Electric Power (Group) Co., Ltd., Xi’an, China Accurate prediction of goaf ...
This study introduces a novel and highly flexible class of discrete probability distributions tailored to model the diverse monotonic failure-rate patterns frequently observed in stock-market data.
I've been working with MathNet.Numerics.Distributions recently and I'm really confused by certain design decisions. When writing generic algorithms that operate on probability distributions; it's ...
Continuous-variable quantum cryptography has emerged as a significant branch of quantum cryptography, with continuous-variable quantum key distribution (CVQKD) at its core. However, compared to ...
Abstract: This paper addresses the problem of designing nonlinear discrete-time dynamical systems for prospective use in low-complexity random signal generators. Drawing upon ergodic systems theory, ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
In a significant push toward modernizing America’s aging grid infrastructure, the Biden administration, in partnership with 21 states, has launched the Federal-State Modern Grid Deployment Initiative.
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