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Analysis and Operator Theory Seminar - Grzegorz Rempala

Professor Greg Rempala
February 11, 2014
1:50PM - 2:45PM
Cockins Room 240

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Add to Calendar 2014-02-11 13:50:00 2014-02-11 14:45:00 Analysis and Operator Theory Seminar - Grzegorz Rempala Title: New Mathematics from Biology: Limit theorems for the number of matchings in random graphsSpeaker:  Professor Greg Rempala, Deputy Director, MBI, and Professor of Biostatistics, OSU College of Public HealthSeminar Type:  Analysis and Operator TheoryAbstract: I will give some examples of how questions in biological sciences may inspire interesting mathematical ones. The focus will be on the so called network connectivity and redundancy test, which in mathematical terms  is a question about asymptotic distribution of the number of matchings in a bipartite random graphs. I will show how this problem may be elegantly solved using some simple tools from modern stochastic analysis like multiples stochastic integrals and martingale decompositions. The methods discussed may be also used in a broader context for instance, when analyzing functionals of random matrices. Cockins Room 240 Department of Mathematics math@osu.edu America/New_York public

Title: New Mathematics from Biology: Limit theorems for the number of matchings in random graphs

SpeakerProfessor Greg Rempala, Deputy Director, MBI, and Professor of Biostatistics, OSU College of Public Health

Seminar Type:  Analysis and Operator Theory

Abstract: I will give some examples of how questions in biological sciences may inspire interesting mathematical ones. The focus will be on the so called network connectivity and redundancy test, which in mathematical terms  is a question about asymptotic distribution of the number of matchings in a bipartite random graphs. I will show how this problem may be elegantly solved using some simple tools from modern stochastic analysis like multiples stochastic integrals and martingale decompositions. The methods discussed may be also used in a broader context for instance, when analyzing functionals of random matrices.

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