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

This is the official implementation of the paper, titled "Neural Path Guiding with Distribution Factorization", presented at EGSR 2025. Distribution Factorization (DF) factorizes the 2D directional ...

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 this paper, we consider the function f p ( t )= 2p X 2 ( 2p t+p;p ) , where χ²(x; n) defined by X 2 ( x;p )= 2 −p/2 Γ( p/2 ) e −x/2 x p/2−1 , is the density function of a χ²-distribution with n ...

Researchers have pioneered a new approach to simulate turbulent systems, based on probabilities. Researchers at the University of Oxford have pioneered a new approach to simulate turbulent systems, ...

1 School of Power and Intelligent Manufacturing, Guangzhou Huali Science and Technology Vocational College, Guangzhou, China 2 School of Electrical Engineering and Automation, Harbin Institute of ...

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) ...