Difference between revisions of "Probability"

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(Emeriti)
(Graduate Courses in Probability)
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== Graduate Courses in Probability ==
 
== Graduate Courses in Probability ==
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'''2013 Fall'''
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[http://www.math.wisc.edu/~  Math/Stat 733 Theory of Probability I (formerly 831]
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'''2013 Spring'''
 
'''2013 Spring'''
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'''2012 Fall'''
 
 
[http://www.math.wisc.edu/~anderson/831F12/831F12.html Math/Stat 831 - Theory of Probability I]
 
 
[http://www.math.wisc.edu/~seppalai/courses/735/735home.html Math 735 - Stochastic Analysis]
 
 
[http://www.math.wisc.edu/~roch/teaching_files/833.f12/index.html Math 833 - Topics in Probability: Stochastic Processes in Evolution and Genetics]
 
  
  
  
 
'''[[Graduate student reading seminar]]'''
 
'''[[Graduate student reading seminar]]'''

Revision as of 08:27, 28 August 2013


Probability at UW-Madison


Tenured and tenure-track faculty

David Anderson (Duke, 2005) applied probability, numerical methods, mathematical biology.

Sebastien Roch (UC Berkeley, 2007) applied probability, mathematical biology, theoretical computer science.

Timo Seppäläinen (Minnesota, 1991) interacting particle systems, random walks in random environments, large deviation theory.

Benedek Valko (Budapest, 2004) interacting particle systems, random matrices.

Philip Matchett Wood (Rutgers, 2009) combinatorics, random matrices

Jun Yin (Princeton, 2008) random matrices

Postdoctoral fellows

Gregory Shinault (UC Davis, 2012) interacting particle systems, random growth models.

Emeriti

David Griffeath (Cornell, 1976)

Jim Kuelbs (Minnesota, 1965)

Tom Kurtz (Stanford, 1967)

Peter Ney (Columbia, 1961)

Graduate students

Elnur Emrah

Diane Holcomb

Chris Janjigian

Masanori Koyama

Beth Skubak Wolf

Yun Zhai

Dae Han Kang

Probability Seminar

Thursdays at 2:25pm, VV901


Probability group timetable

Graduate Courses in Probability

2013 Fall

Math/Stat 733 Theory of Probability I (formerly 831


2013 Spring

Math/Stat 833 Topics in Probability Spring 2013: Large Deviations and Gibbs Measures

Math 832 - Theory of Probability II



Graduate student reading seminar