On some inferences of random walks

In mathematics a random walk (also known as drunkard’s walk) is a succession of random steps. In 1905 Karl Pearson introduced the term “random walk”. A Bernoulli random walk is the random walk on the integer number line Z which starts at 0 and at each step moves +1 or −1 with equal probability. A Pearsonian random walk is a walk in the plane that starts at the origin 0 and consists of length 1 taken in uniformly random direction. In this paper several known and new results of Bernoulli and Pearsonian walks will be presented. Journal of Statistical Research 2025, Vol. 59, No. 1, pp. 47-64

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Journal
Journal of Statistical Research
Published
2025-08-19
DOI
https://doi.org/10.3329/jsr.v59i1.83683
Primary Topic
Bayesian Methods and Mixture Models
Type
article
Field-Weighted Citation Impact
0.00

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article

On some inferences of random walks

Mohammad Ahsanullah
Journal of Statistical Research
Bayesian Methods and Mixture Models
article

On some inferences of random walks

Mohammad Ahsanullah
article en

Abstract

In mathematics a random walk (also known as drunkard’s walk) is a succession of random steps. In 1905 Karl Pearson introduced the term “random walk”. A Bernoulli random walk is the random walk on the integer number line Z which starts at 0 and at each step moves +1 or −1 with equal probability. A Pearsonian random walk is a walk in the plane that starts at the origin 0 and consists of length 1 taken in uniformly random direction. In this paper several known and new results of Bernoulli and Pearsonian walks will be presented. Journal of Statistical Research 2025, Vol. 59, No. 1, pp. 47-64

Journal of Statistical ResearchVol. 59(1)
Rider University (US)
University of South Alabama
Openalex Percentile: Top 89%
Bayesian Methods and Mixture Models
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