与 Rao-Blackwellization 和关联规则挖掘相关的一些问题

T. J. Rao
{"title":"与 Rao-Blackwellization 和关联规则挖掘相关的一些问题","authors":"T. J. Rao","doi":"10.3329/ijss.v24i1.72023","DOIUrl":null,"url":null,"abstract":"Prof. CR Rao has been awarded the prestigious 2023 International Prize in Statistics.  The citation reads: “In his remarkable 1945 paper published in the Bulletin of the Calcutta Mathematical Society, Calyampudi Radhakrishna (C.R.) Rao demonstrated three fundamental results that paved the way for the modern field of Statistics and provided statistical tools heavily used in science today……”. These three results are ‘Cramer-Rao Lower Bound’ (CRLB), ‘Rao- Blackwellization’ (RB) and the third one now flourished as ‘Information Geometry’. In this paper, we shall discuss two offshoots from his work over the eight decades. Several articles have appeared on his life and work (see for example, T. J. Rao (2019 and 2023a, 2023b) and Kumar (2023)).  The first offshoot is based on one of the three breakthrough results, namely, Rao–Blackwell Theorem, first proved by C.R. Rao in 1945, when he was just 25 years old and also by Blackwell later in 1947. The second one is on Association Rule Mining (ARM), which he developed when he was 96 years old. These two papers reveal the transition of statistical methodologies from Fisherian concepts to recent applications of AI and ML. In this paper we shall pose some questions which need further study.\nInternational Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 85-89","PeriodicalId":512956,"journal":{"name":"International Journal of Statistical Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Some Questions Related to Rao-Blackwellization and Association Rule Mining\",\"authors\":\"T. J. Rao\",\"doi\":\"10.3329/ijss.v24i1.72023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Prof. CR Rao has been awarded the prestigious 2023 International Prize in Statistics.  The citation reads: “In his remarkable 1945 paper published in the Bulletin of the Calcutta Mathematical Society, Calyampudi Radhakrishna (C.R.) Rao demonstrated three fundamental results that paved the way for the modern field of Statistics and provided statistical tools heavily used in science today……”. These three results are ‘Cramer-Rao Lower Bound’ (CRLB), ‘Rao- Blackwellization’ (RB) and the third one now flourished as ‘Information Geometry’. In this paper, we shall discuss two offshoots from his work over the eight decades. Several articles have appeared on his life and work (see for example, T. J. Rao (2019 and 2023a, 2023b) and Kumar (2023)).  The first offshoot is based on one of the three breakthrough results, namely, Rao–Blackwell Theorem, first proved by C.R. Rao in 1945, when he was just 25 years old and also by Blackwell later in 1947. The second one is on Association Rule Mining (ARM), which he developed when he was 96 years old. These two papers reveal the transition of statistical methodologies from Fisherian concepts to recent applications of AI and ML. In this paper we shall pose some questions which need further study.\\nInternational Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 85-89\",\"PeriodicalId\":512956,\"journal\":{\"name\":\"International Journal of Statistical Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Statistical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3329/ijss.v24i1.72023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Statistical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3329/ijss.v24i1.72023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

CR Rao 教授荣获著名的 2023 年国际统计学奖。 颁奖词如下"Calyampudi Radhakrishna (C.R.) Rao 于 1945 年在《加尔各答数学协会公报》上发表了一篇引人注目的论文,他在论文中证明了三个基本结果,为现代统计学领域的发展铺平了道路,并提供了在当今科学中广泛使用的统计工具......"。这三项成果分别是 "克拉默-拉奥下界"(CRLB)、"拉奥-布莱克韦尔化"(RB)和现在作为 "信息几何 "发扬光大的第三项成果。在本文中,我们将讨论他八十年来工作的两个分支。已有多篇文章介绍了他的生平和工作(见 T. J. Rao (2019 and 2023a, 2023b) 和 Kumar (2023))。 第一个分支基于三个突破性成果之一,即 Rao-Blackwell 定理,该定理由 C.R. Rao 于 1945 年首次证明,当时他年仅 25 岁,Blackwell 也于 1947 年首次证明。第二篇是关于关联规则挖掘(ARM)的论文,是他在 96 岁时提出的。这两篇论文揭示了统计方法论从费雪概念到人工智能和 ML 最新应用的转变。本文将提出一些需要进一步研究的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Some Questions Related to Rao-Blackwellization and Association Rule Mining
Prof. CR Rao has been awarded the prestigious 2023 International Prize in Statistics.  The citation reads: “In his remarkable 1945 paper published in the Bulletin of the Calcutta Mathematical Society, Calyampudi Radhakrishna (C.R.) Rao demonstrated three fundamental results that paved the way for the modern field of Statistics and provided statistical tools heavily used in science today……”. These three results are ‘Cramer-Rao Lower Bound’ (CRLB), ‘Rao- Blackwellization’ (RB) and the third one now flourished as ‘Information Geometry’. In this paper, we shall discuss two offshoots from his work over the eight decades. Several articles have appeared on his life and work (see for example, T. J. Rao (2019 and 2023a, 2023b) and Kumar (2023)).  The first offshoot is based on one of the three breakthrough results, namely, Rao–Blackwell Theorem, first proved by C.R. Rao in 1945, when he was just 25 years old and also by Blackwell later in 1947. The second one is on Association Rule Mining (ARM), which he developed when he was 96 years old. These two papers reveal the transition of statistical methodologies from Fisherian concepts to recent applications of AI and ML. In this paper we shall pose some questions which need further study. International Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 85-89
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Optimum Designs for Optimum Mixtures: An Informative Review Crafting Disaster-Driven Statistics: A Strategic Sampling Model Some Questions Related to Rao-Blackwellization and Association Rule Mining New Series of D-efficient Covariate Designs under BIBD set-up Understanding Chao (Biometrika, 1982) [Paper on ΠPS Sampling Schemes]
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1