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DTSTART;TZID=America/Los_Angeles:20250305T161500
DTEND;TZID=America/Los_Angeles:20250305T173000
DTSTAMP:20260518T203614
CREATED:20250125T042805Z
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SUMMARY:No CCMS Colloquium!
DESCRIPTION:
URL:https://colleges.claremont.edu/ccms/event/ccms-colloquium-tba-3/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Bahar Acu":MAILTO:Bahar_Acu@pitzer.edu
GEO:34.0999157;-117.7142668
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250312T161500
DTEND;TZID=America/Los_Angeles:20250312T173000
DTSTAMP:20260518T203614
CREATED:20250125T043428Z
LAST-MODIFIED:20250303T183823Z
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SUMMARY:CCMS Colloquium: (Iris Yoon\, Wesleyan University)
DESCRIPTION:Speaker: Iris Yoon\, Professor of Mathematics\, Wesleyan University \nTitle: How Topology Reveals Structure in Neuroscience Data \nAbstract: We live in an exciting time where new data is generated at an exponential rate. Such data explosion necessitates the development of novel methods for studying large\, noisy\, and complex data. One interesting aspect of data is its shape and structure. In this talk\, I will discuss recent developments in applied topology that studies the structure of data. In particular\, I will show how constructions in topology\, such as homology and Dowker complexes\, reveal interesting structures in data. I will discuss the mathematical challenges of extending these constructions to data science\, specifically in neuroscience. \nBio: Iris Yoon is an assistant professor of mathematics at Wesleyan University. She develops novel applications of algebraic topology to data science. \n 
URL:https://colleges.claremont.edu/ccms/event/ccms-colloquium-iris-yoon-wesleyan-university/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Bahar Acu":MAILTO:Bahar_Acu@pitzer.edu
GEO:34.0999157;-117.7142668
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Argue Auditorium Pomona College 610 N. College Ave. Claremont CA 91711 United States;X-APPLE-RADIUS=500;X-TITLE=610 N. College Ave.:geo:-117.7142668,34.0999157
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20250319
DTEND;VALUE=DATE:20250320
DTSTAMP:20260518T203614
CREATED:20250131T234805Z
LAST-MODIFIED:20250131T234805Z
UID:3675-1742342400-1742428799@colleges.claremont.edu
SUMMARY:No Colloquium: Spring Break
DESCRIPTION:
URL:https://colleges.claremont.edu/ccms/event/no-colloquium-spring-break/
LOCATION:CA
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250326T161500
DTEND;TZID=America/Los_Angeles:20250326T173000
DTSTAMP:20260518T203614
CREATED:20250201T220938Z
LAST-MODIFIED:20250326T201510Z
UID:3681-1743005700-1743010200@colleges.claremont.edu
SUMMARY:CCMS Colloquium: Brownian Motion\, Random Fractals\, and Beyond (Yimin Xiao\, Michigan State Uni)
DESCRIPTION:Speaker: Yimin Xiao\, Professor of Statistics and Probability\, Michigan State University \nTitle: Brownian Motion\, Random Fractals\, and Beyond \nAbstract: Brownian motion is not only a fascinating object in mathematics but also a powerful stochastic model that has been applied in many scientific fields\, from physics to finance\, to biological sciences. The sample function of Brownian motion is nowhere differentiable and generates various interesting fractal sets and measures. It is natural to apply tools from Fractal Geometry (e.g. Hausdorf dimension\, packing dimension) to study the fine properties of Brownian motion. There is an enormous literature on sample path properties of Brownian motion\, including many fractal and multifractal properties.\nIn this talk\, we first provide an overview of some regularity and fractal properties of Brownian motion and its local times. These results are fundamental for the development of related theories for other stochastic processes. We then describe extensions of these results to Levy stable processes and fractional Brownian motion\, which are two important relatives of Brownian motion in the areas of Markov processes and Gaussian processes\, respectively. \nBio: Yimin Xiao is an MSU Research Foundation Professor in Statistics and Probability at Michigan State University. He received his Ph.D. from the Ohio State University in 1996. After completing his postdocs at the University of Utah and Microsoft Research\, he joined Michigan State University in 2000. His research interests include random fields\, Gaussian and Lévy processes\, stochastic partial differential equations\, extreme value theory\, random fractals\, and statistical analysis of spatial and spatio-temporal models. He has published about 160 articles in peer-reviewed journals. \nDr. Xiao has been a visiting professor at several universities in China\, France\, Germany\, Hong Kong\, Sweden\, and Switzerland and has been invited as a speaker at various international conferences. He is a Fellow of the Institute of Mathematical Statistics. \n 
URL:https://colleges.claremont.edu/ccms/event/ccms-colloquium-brownian-motion-random-fractals-and-beyond-yimin-xiao-michigan-state-uni/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Bahar Acu":MAILTO:Bahar_Acu@pitzer.edu
GEO:34.0999157;-117.7142668
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