In statistics, a Poisson distribution is a discrete probability distribution that indicates the likelihood of an event occurring a specified number of times over a given period.

Credal networks: Graphical models that extend Bayesian networks by associating each node with a set of probability distributions, thereby capturing uncertainty more robustly.

Abstract: The method of minimum discrimination information estimation is applied to the problem of estimating an n-dimensional discrete probability distribution in terms of lower order marginal ...

In this paper, using Miller's approach and Dougall's identity, we derive new infinite series representations for the quadrivariate Nakagami-m joint density function, cumulative distribution function ...

This application provides an intuitive interface for calculating four fundamental discrete probability distributions commonly used in statistics and probability theory. Built with modern Java Swing ...

In graphical-based chemistry machine learning (ML) models, a precise atomic correlation depiction, known as molecular topology, can significantly increase the model’s performance. However, owing to ...

We have the 5-letter answer for NOUN: "a small graphic representation (such as a map or picture) [presented] within a larger one" crossword clue, last seen in the Missing Letter Crossword June 1, 2025 ...

This lively introductory text exposes the student in the humanities to the world of discrete mathematics. A problem-solving based approach grounded in the ideas of George Pólya are at the heart of ...

(ICML'24) Learning Divergence Fields for Shift-Robust Graph Representations. (2024) Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Network.

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