$p$-adic Linear Regression for Random Sampling with Digitwise Noise

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autor principal: Mihara, Tomoki
Formato: Preprint
Publicado: 2026
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866918502599753728
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