# Difference between revisions of "Past Probability Seminars Spring 2020"

From UW-Math Wiki

(→Friday, February 5, Daniele Cappelletti speaks in the Applied Math Seminar, 2:25pm in Room 901) |
(→Friday, February 5, Daniele Cappelletti speaks in the Applied Math Seminar, 2:25pm in Room 901) |
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== Thursday, February 4, [http://homepages.math.uic.edu/~nenciu/Site/Contact.html Inina Nenciu], [http://www.math.uic.edu/ UIC] == | == Thursday, February 4, [http://homepages.math.uic.edu/~nenciu/Site/Contact.html Inina Nenciu], [http://www.math.uic.edu/ UIC] == | ||

− | == Friday, February 5, [http://www.math.ku.dk/~d.cappelletti/index.html Daniele Cappelletti] speaks in the [http://www.math.wisc.edu/wiki/index.php/Applied/ACMS Applied Math Seminar], 2:25pm in Room 901 == | + | == <span style=:color:green>Friday, February 5</span>, [http://www.math.ku.dk/~d.cappelletti/index.html Daniele Cappelletti] speaks in the [http://www.math.wisc.edu/wiki/index.php/Applied/ACMS Applied Math Seminar], <span style=:color:green>2:25pm in Room 901 </span>== |

Note: Cappelletti is speaking in the [http://www.math.wisc.edu/wiki/index.php/Applied/ACMS Applied Math Seminar], but his research is on stochastic reaction networks and uses probability theory. | Note: Cappelletti is speaking in the [http://www.math.wisc.edu/wiki/index.php/Applied/ACMS Applied Math Seminar], but his research is on stochastic reaction networks and uses probability theory. |

## Revision as of 10:21, 19 January 2016

# Spring 2015

**Thursdays in 901 Van Vleck Hall at 2:25 PM**, unless otherwise noted.

**
If you would like to sign up for the email list to receive seminar announcements then please send an email to join-probsem@lists.wisc.edu.
**

## Thursday, January 28, Leonid Petrov, University of Virginia

## Thursday, February 4, Inina Nenciu, UIC

## Friday, February 5, Daniele Cappelletti speaks in the Applied Math Seminar, 2:25pm in Room 901

Note: Cappelletti is speaking in the Applied Math Seminar, but his research is on stochastic reaction networks and uses probability theory.