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Persi Diaconis

From http://en.wikipedia.org/wiki/Persi_Diaconis: “Diaconis left home at 14 to travel with sleight-of-hand legend Dai Vernon, and dropped out of high school, promising himself that he would return one day so that he could learn all of the math necessary to read William Feller’s famous two-volume treatise on probability theory, An Introduction to Probability Theory and Its Applications. He returned to school (City College of New York for his undergraduate work graduating in 1971 and then a Ph.D. in Mathematical Statistics from Harvard University in 1974), learned to read Feller, and became a mathematical probabilist”.

Professor Diaconis has contributed much to probability, statistics and mathematics. He has received numerous honorary degrees and awards including a MacArthur Fellowship, 1982 – 1987, and election to the National Academy of Sciences, 1995. http://www-stat.stanford.edu/~cgates/PERSI

Schedule:
The Search for Randomness
Thursday, August 29, 2013
1400 Biomedical and Physical Sciences Building
10:20 a.m. - 11:10 a.m.

Mathematics and Statistics for Large Networks
Friday, August 30, 2013
C405 Wells Hall
10:20 a.m. - 11:10 a.m.

upcoming events

Colloquium - Vladimir Koltchinskii

Institution: Georgia Institute of Technology
Title: Bias reduction and efficiency in estimation of smooth functionals of high-dimensional parameters
Date: October 27, 2020
Location: Zoom
Time: 10:20 AM - 11:10 AM Eastern Daylight Time (EDT)

 

Colloquium - Ian McKeague

Institution: Columbia University
Title: Significance testing for canonical correlation analysis in high dimensions
Date: November 3, 2020
Location: Zoom
Time: 10:20 AM - 11:10 AM Eastern Standard Time (EST)

 

Colloquium - Lin Chen

Institution: University of Chicago
Title: Integrative Genomic Association and Mediation Analysis
Date: November 10, 2020
Location: Zoom
Time: 10:20 AM - 11:10 AM Eastern Standard Time (EST)

 

Colloquium - Eric Chi

Institution: North Carolina State University
Title: [TBA]
Date: November 17, 2020
Location: Zoom
Time: 10:20 AM - 11:10 AM Eastern Standard Time (EST)