Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Interest Rate Probability Distributions Implied by Derivatives Prices is a daily measure of the distribution of future short-term interest rates, calculated from prices of fixed-income derivatives ...

Abstract: We have proposed a novel sampling method (NS) for controlling step sizes and incorporating Lévy flight to distribution-based discrete particle swarm optimizations (DDP-SOs), which are ...

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 ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Life is uncertain. None of us know what is going to happen. We know little of what has happened in the past or is happening now outside our immediate experience. Uncertainty has been called the ...

Fault-tolerant quantum computing architecture using hybrid qubits / Fault-tolerant quantum computing architecture based on hybrid qubits that utilize both DV and CV qubits simultaneously. It utilizes ...

1 Department of Plant Pathology, The Ohio State University, Wooster, OH, United States 2 Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State ...

dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...

Background: Although several strategies for modelling competing events in discrete event simulation (DES) exist, a methodological gap for the event-specific probabilities and distributions (ESPD) ...