Moment inequality, central limit theorem, and the invariance principle for linearly positive quadrant dependent random fields

UDC 519.21 We obtain the moment inequality by considering the central limit theorem for the sums of linearly positive quadrant dependent random fields when the covariance satisfies certain conditions. Applying this moment inequality, we prove the invariance principle.

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Publication Details

Journal
Ukrains’kyi Matematychnyi Zhurnal
Published
2025-05-08
DOI
https://doi.org/10.3842/umzh.v77i3.8385
Primary Topic
Probability and Risk Models
Type
article
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article

Moment inequality, central limit theorem, and the invariance principle for linearly positive quadrant dependent random fields

Abdurakhman Mukhamedov
Ukrains’kyi Matematychnyi Zhurnal
Probability and Risk Models
article

Moment inequality, central limit theorem, and the invariance principle for linearly positive quadrant dependent random fields

Abdurakhman Mukhamedov
article en

Abstract

UDC 519.21 We obtain the moment inequality by considering the central limit theorem for the sums of linearly positive quadrant dependent random fields when the covariance satisfies certain conditions. Applying this moment inequality, we prove the invariance principle.

Ukrains’kyi Matematychnyi ZhurnalVol. 77(3)
National University of Uzbekistan (UZ)
Openalex Percentile: Top 89%
Probability and Risk Models
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Moment inequality, central limit theorem, and the invariance principle for linearly positive quadrant dependent random fields — Abdurakhman Mukhamedov · Ukrains’kyi Matematychnyi Zhurnal (2025) | TGRS Research Map | TGRS