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Title:A completion of counterexamples to the classical central limit theorem for triplewise independent and identically distributed random variables
Authors:ID Raič, Martin (Author)
Files:.pdf PDF - Presentation file, download (641,42 KB)
MD5: 4067F46B6369DE8B1C15FA2DC04FA44F
 
URL URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S0167715225001531
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IMFM - Institute of Mathematics, Physics, and Mechanics
Abstract:By the Lindeberg–Lévy central limit theorem, standardized partial sums of a sequence of mutually independent and identically distributed random variables converge in law to the standard normal distribution. It is known that mutual independence cannot be relaxed to pairwise independence, nor even to triplewise independence. Counterexamples have been constructed for most marginal distributions: a recent construction works under a condition which excludes certain probability distributions with atomic parts, in particular almost all distributions on a fixed finite set. In the present paper, we show that this condition can be lifted: for any probability distribution $F$ on the real line, which has finite variance and is not concentrated in a single point, there exists a sequence of triplewise independent random variables with distribution $F$, such that its standardized partial sums converge in law to a distribution which is not normal. There is also scope for extension to $k$-tuplewise independence.
Keywords:central limit theorem, mutual independence, triplewise independence
Publication status:Published
Publication version:Version of Record
Publication date:01.11.2025
Year of publishing:2025
Number of pages:5 str.
Numbering:Vol. 226, article no. 110508
PID:20.500.12556/DiRROS-23328 New window
UDC:519.2
ISSN on article:0167-7152
DOI:10.1016/j.spl.2025.110508 New window
COBISS.SI-ID:245761283 New window
Publication date in DiRROS:18.08.2025
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Downloads:146
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Record is a part of a journal

Title:Statistics & probability letters
Shortened title:Stat. probab. lett.
Publisher:Elsevier
ISSN:0167-7152
COBISS.SI-ID:1248533 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0448
Name:Stohastične metode in njihova uporaba

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:centralni limitni izrek, vzajemna neodvisnost, neodvisnost po trojicah


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