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DTSTART;TZID=America/Chicago:20241115T123000
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DTSTAMP:20260614T170845
CREATED:20241113T152405Z
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SUMMARY:Graduate Student Colloquium: Eric Redmon
DESCRIPTION:Finite State Machines and Bounded Permutations\nEric Redmon\nGraduate Student\nMarquette University \nWe define a k-bounded permutation π of length n to be a permutation such that for each pair of adjacent entries $\pi$ and $\pi(i + 1)$ for $i = 1\, 2\, 3\, . . . \, n − 1$ we have $|\pi(i) − \pi(i + 1)| \leq k$. Previous work has shown that the generating function for this family of permutations is rational\, and has computed generating functions for small values of $k$. In this talk\, we will discuss the nature of finite state machines and how we can leverage the insertion encoding devised by Albert\, Linton\, and Ruškuc to build a finite state machine that we can use to find generating functions for larger values of $k$.
URL:https://uwm.edu/math/event/graduate-student-colloquium-eric-redmon/
LOCATION:EMS Building\, Room E495\, E495; 3200 N Cramer St.\, Milwaukee\, WI\, 53211\, United States
CATEGORIES:Graduate Student Colloquia
ORGANIZER;CN="The Department of Mathematical Sciences":MAILTO:math-staff@uwm.edu
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CREATED:20240826T192945Z
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SUMMARY:Colloquium: Dr. Lei Hua
DESCRIPTION:Unified Tail Dependence Measures and Its Applications in High-Frequency Financial Data\nDr. Lei Hua\nAssociate Professor\, Director of Statistical Consulting Service\nNorthern Illinois University \nIn this presentation\, I will first motivate the necessity for a unified tail dependence measure\, followed by an examination of the theoretical framework for developing such measures utilizing random variables characterized by regularly varying tails. Specific instances that result in unified tail dependence measures applicable in practical scenarios will be demonstrated. Ultimately\, I will explore the application of the unified tail dependence measure in the analysis of high-frequency financial market data and discuss novel empirical insights from financial markets.
URL:https://uwm.edu/math/event/colloquium-nick-mayers/
LOCATION:WI
CATEGORIES:Colloquia
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