APAIPRSTAug 16, 2024

A Tutorial on Brownian Motion for Biostatisticians

arXiv:2408.16011v11 citationsh-index: 4
Originality Synthesis-oriented
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It offers a comprehensive educational resource for biostatisticians to understand this fundamental stochastic process, but it is incremental as it presents existing knowledge without new research findings.

This tutorial provides an in-depth exploration of Brownian Motion, covering foundational definitions, advanced topics like the Karhunen-Loeve expansion, and important results such as Donsker's theorem, tailored specifically for biostatisticians.

This manuscript provides an in-depth exploration of Brownian Motion, a fundamental stochastic process in probability theory for Biostatisticians. It begins with foundational definitions and properties, including the construction of Brownian motion and its Markovian characteristics. The document delves into advanced topics such as the Karhunen-Loeve expansion, reflection principles, and Levy's modulus of continuity. Through rigorous proofs and theorems, the manuscript examines the non-differentiability of Brownian paths, the behavior of zero sets, and the significance of local time. The notes also cover important results like Donsker's theorem and Blumenthal's 0-1 law, emphasizing their implications in the study of stochastic processes.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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