This Chalk Talk highlights applications of a discrete Gaussian in various areas, following a 2025 paper by Chinta, Jorgenson, Karlsson, and Smajlović. The topics include heat diffusion, Bessel ...

Discover the secrets to generating random numbers in Python using the NumPy library. Unleash the full potential of your code ...

Objectives To determine what drives participation in clinical trials with decentralised elements and to estimate trial participation probabilities for trials with different degrees of decentralisation ...

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 ...

For the first time all season, it feels like West Virginia enters a game in a great spot situationally. They're coming off a bye following a game that was played on a Friday night, so they were able ...

Marc Weinstock is leaving Paramount as its President of Global Marketing and Distribution. The news comes as Josh Goldstine is finaling a contract to be named in the new role. Weinstock is responsible ...

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 ...

This study presents DeepTX, a valuable methodological tool that integrates mechanistic stochastic models with single-cell RNA sequencing data to infer transcriptional burst kinetics at genome scale.

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 ...