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Abstract: Mixing coefficients between two random variables act as a measure of their dependence. For stochastic processes mixing is another way of saying that the process is asymptotically independent ...
Abstract: An exact closed-form expression is developed for the probability density function (PDF) of the sum of independent but not necessarily identically distributed Nakagami-m random variables. By ...
Background Healthcare patient safety investigations inappropriately focus on individual culpability and the target of ...
Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
Background A more nuanced understanding of behavioural responses to incentives over time, particularly after they are removed, could guide more effective interventions. In this study, we build on the ...
This package contains Python code implementing several entropy estimation functions for both discrete and continuous variables. Information theory provides a model-free way find structure in complex ...
Pishro-Nik's: Introduction to Probability, Statistics and Random Processes is a very accessible introductory probability and statistics book at a level of an undergraduate math/computer ...
The collective dynamics and structure of animal groups has attracted the attention of scientists across a broad range of fields. A variety of agent-based models have been developed to help understand ...
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