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Bibliographic Details
Main Author: Mihara, Tomoki
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.13137
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author Mihara, Tomoki
author_facet Mihara, Tomoki
contents We propose a new probabilistic algorithm of $p$-adic linear regression for random sampling with digitwise noise. This includes a new probabilistic algorithm of modulo $p$ linear regression.
format Preprint
id arxiv_https___arxiv_org_abs_2604_13137
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle $p$-adic Linear Regression for Random Sampling with Digitwise Noise
Mihara, Tomoki
Computation
Number Theory
Statistics Theory
We propose a new probabilistic algorithm of $p$-adic linear regression for random sampling with digitwise noise. This includes a new probabilistic algorithm of modulo $p$ linear regression.
title $p$-adic Linear Regression for Random Sampling with Digitwise Noise
topic Computation
Number Theory
Statistics Theory
url https://arxiv.org/abs/2604.13137