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Main Authors: Su, Yuting, Zou, Zhenfeng, Hu, Taizhong
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2505.01971
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author Su, Yuting
Zou, Zhenfeng
Hu, Taizhong
author_facet Su, Yuting
Zou, Zhenfeng
Hu, Taizhong
contents Negative dependence in tournaments has received attention in the literature. The property of negative orthant dependence (NOD) was proved for different tournament models with a special proof for each model. For general round-robin tournaments and knockout tournaments with random draws, Malinovsky and Rinott (2023) unified and simplified many existing results in the literature by proving a stronger property, negative association (NA). For a knockout tournament with a non-random draw, Malinovsky and Rinott (2023) presented an example to illustrate that S is NOD but not NA. However, their proof is not correct. In this paper, we establish the properties of negative regression dependence (NRD), negative left-tail dependence (NLTD) and negative right-tail dependence (NRTD) for a knockout tournament with a random draw and with players being of equal strength. For a knockout tournament with a non-random draw and with equal strength, we prove that S is NA and NRTD, while S is, in general, not NRD or NLTD.
format Preprint
id arxiv_https___arxiv_org_abs_2505_01971
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Negative Dependence in Knockout Tournaments
Su, Yuting
Zou, Zhenfeng
Hu, Taizhong
Probability
Negative dependence in tournaments has received attention in the literature. The property of negative orthant dependence (NOD) was proved for different tournament models with a special proof for each model. For general round-robin tournaments and knockout tournaments with random draws, Malinovsky and Rinott (2023) unified and simplified many existing results in the literature by proving a stronger property, negative association (NA). For a knockout tournament with a non-random draw, Malinovsky and Rinott (2023) presented an example to illustrate that S is NOD but not NA. However, their proof is not correct. In this paper, we establish the properties of negative regression dependence (NRD), negative left-tail dependence (NLTD) and negative right-tail dependence (NRTD) for a knockout tournament with a random draw and with players being of equal strength. For a knockout tournament with a non-random draw and with equal strength, we prove that S is NA and NRTD, while S is, in general, not NRD or NLTD.
title Negative Dependence in Knockout Tournaments
topic Probability
url https://arxiv.org/abs/2505.01971