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 ...

PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers who need a little more versatility, there’s uv. Find these tools and more ...

State Key Laboratory of Physical Chemistry of Solid Surfaces and Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry College of Chemistry and Chemical Engineering, Xiamen ...

Circular statistics is a specialised subfield of statistics that focuses on analysing data points distributed on a circle. Unlike conventional linear statistics, circular data is characterised by ...

This is a fast negative-binomial distribution for Python and C++, optimised for small repeated integer counts such as those seen in single-cell RNA sequencing data, and including zero inflation.

Predicting how complex stochastic systems respond to small external perturbations is central in physics, climate science, and engineering. We combine the generalized fluctuation–dissipation theorem ...

This methodological article aims to present the type I Pareto distribution in a clear and illustrative manner for better understanding among social researchers. It also provides R scripts for ...

The hazard produced by natural phenomena on infrastructure and urban populations has been widely studied in the last 50 years. Researchers have recognised that the real danger posed by these phenomena ...

We would like a new entry on probability distributions term under Python:SciPy. The entry should go in a new file under docs/content/scipy/concepts/scipy-stats/terms ...

Abstract: The probability and possibility theories are two particular cases of the more general theory of evidence, and probability distribution and possibility distribution (PD) are two different, ...