A gentle introduction to the differential equation method and dynamic concentration
Patrick Bennett, Andrzej Dudek
TL;DR
This paper introduces the differential equation method for analyzing the dynamic concentration of discrete random processes, providing accessible examples to help readers understand this probabilistic technique.
Contribution
It offers a clear, beginner-friendly explanation of the differential equation method with illustrative examples for those new to the approach.
Findings
Demonstrates the application of the differential equation method to random processes
Provides simple examples to illustrate the method's use
Aims to make the technique accessible to newcomers
Abstract
We discuss the differential equation method for establishing dynamic concentration of discrete random processes. We present several relatively simple examples of it and aim to make the method understandable to the unfamiliar reader who has some basic knowledge on probabilistic methods, random graphs and differential equations.
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Taxonomy
TopicsScientific Research and Discoveries · Gaussian Processes and Bayesian Inference