Workshop on Computational Methods in Applied Sciences

Scientific computation has been an important topic in many disciplines. This workshop focuses on the recent advances in efficient computational methods and their applications to applied sciences. Specifically, the topics of the workshop include analyses of Markov chain Monte Carlo, particle methods, asymptotic theory and approximations.

Sunday, Dec 2, 2012
Room 1025, Department of Statistics, Columbia University

• Jonathan Goodman, New York University
  

• Henry Lam, Boston University
  

• Kevin Leder, University of Minnesota
  

• Guang Lin, Pacific Northwest National Laboratory
  

• Jianfeng Lu, Duke University
  

• Eric Vanden-Eijnden, New York University
  

• Dongbin Xiu, Purdue University
  

• Xiang Zhou, Brown University

• 09:30 - 10:00            Jianfeng Lu, Duke University
  

• 10:05 - 10:35            Xiang Zhou, Brown University
  

• 10:35 - 11:00            Coffee Break

• 11:00 - 11:30            Dongbin Xiu, Purdue University
  

• 11:35 - 12:05            Eric Vanden-Eijnden, New York University

• 2:00 - 2:30               Kevin Leder, University of Minnesota
  

• 2:35 - 3:05               Henry Lam, Boston University
  

• 3:05 - 3:30               Coffee Break

• 3:30 - 4:00               Jonathan Goodman, New York University
  

• 4:05 - 4:35               Guang Lin, Pacific Northwest National Laboratory