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SUMMARY:Milan Studeny (Institute of Information Theory and Automation\, Pr
 ague)
DTSTART:20230301T160000Z
DTEND:20230301T171500Z
DTSTAMP:20260423T021357Z
UID:AAIT/6
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/AAIT/6/">On 
 conditional Ingleton inequalities</a>\nby Milan Studeny (Institute of Info
 rmation Theory and Automation\, Prague) as part of Seminar on Algorithmic 
 Aspects of Information Theory\n\n\nAbstract\nLinear information inequaliti
 es valid for entropy functions induced by discrete random variables play a
 n important role in the task to characterize discrete conditional independ
 ence structures. Specifically\, the so-called conditional Ingleton inequal
 ities in the case of 4 random variables are in the center of interest: the
 se are valid under conditional independence assumptions on the inducing ra
 ndom variables. The four inequalities of this form were earlier revealed: 
 by Yeung and Zhang (1997)\, by Matúš (1999) and by Kaced and Romashchenk
 o (2013). In our recent paper (2021) the fifth inequality of this type was
  found. These five information inequalities can be used to characterize al
 l conditional independence structures induced by four discrete random vari
 ables. One of open problems in that 2021 paper was whether the list of con
 ditional Ingleton inequalities over 4 random variables is complete: the an
 alysis can be completed by a recent finding of Boege (2022) answering that
  question.\n
LOCATION:https://researchseminars.org/talk/AAIT/6/
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