Past Seminars- Probability

Printer-friendly version
  • Professor Sharad Goel
    Tue Mar 20, 2007
    11:00 am
    Classical multidimensional scaling (MDS) is a method for visualizing high-dimensional point clouds by mapping to low-dimensional Euclidean space. This mapping is defined in terms of eigenfunctions of a matrix of interpoint proximities. I'll discuss MDS applied to a specific dataset: the 2005 United States House of Representatives roll call votes....
  • Professor Wolfgang Konig
    Wed Mar 7, 2007
    11:00 am
    We consider the Cauchy problem for the heat equation with random potential on $Z^d$. This is one of the fundamental models of a random motion through a random field of sinks and sources: the mass of the moving particle is decreased in sinks (sites with negative potential value) and increased in sources (sites with positive potential values). We...
  • Professor Sourav Chatterjee
    Sun Mar 4, 2007
    11:00 am
  • Professor Ofer Zeitouni
    Wed Feb 28, 2007
    11:00 pm
    Abstract: for (transient) one dimensional random walk in random environment, conditions are known that ensure an annealed CLT. One then also have a quenched CLT, with a different (environment dependent) centering. In higher dimensions, annealed CLT's have been derived in the ballistic case by Sznitman. We prove that in dimension 4 or more,...
  • Professor Alexander Roitershtein
    Tue Jan 30, 2007
    11:00 am
    We will discuss a strong law of large numbers, an annealed CLT, and the limit law of the ``environment viewed from the particle" for transient random walks on a strip (product of Z with a finite set). The model was introduced by Bolthausen and Goldsheid and includes in particular RWRE with bounded jumps on the line as well as some one-dimensional...
  • Professor Roberto Schonman
    Tue Nov 28, 2006
    11:00 am
  • Professor Christof Kuelske
    Tue Nov 21, 2006
    11:00 am
    We discuss lower bounds on the fluctuations in disordered continuous effective interface models in spatial dimension d=2. The results enclude a Gaussian lower bound in finite volume, and a proof of the non-existence of the random gradient measure in infinite volume. (Joint work with E. Orlandi and A. C. D. van Enter)