Statistics 278b - Neyman Seminar - Fall 2003

Generally Wednesdays 16:00-17:00 in 1011 Evans.

Coffee and Cake beforehand in 1011 Evans

For many years Jerzy Neyman held a Seminar covering a wide range of topics, pure and applied, from probability, statistics and substantive fields. This seminar continues that tradition. The speakers have been asked to direct their presentation at the level of second year graduate students.

Speakers and dates

August 27: Mark Hansen, Department of Statistics, University of California, LA- "Listening Post" Abstract

September 3: Phil Long, Genome Institute of Singapore- "Weighing evidence in the absence of a gold standard" Abstract

September 10: Tony Bell, Redwood Neuroscience Institute, Menlo Park, CA ( "A Theory of Probabilistic Representation In Spiking Networks" Abstract

September 17: Jean-Francois Cardoso, `Centre National de la Recherche Scientifique (CNRS), and Ecole Nationale Superieure des Telecommunications (ENST)- "Looking for Independent Components In Signals and Images" Abstract

September 24: Samuel Kou, Department of Statistics, Harvard University- "Bayesian Analysis of Single Molecule Experimental Data" Abstract

October 1: Zhiyi Chi, Statistics Department, Univ. of Chicago- "Filtering for Point Processes and Its Applications" Abstract

October 8: Doug Nychka, National Center for Atmospheric Research- "The Matrix Revisited: Spatial Interpolation and Smoothing of Large Data Sets" Abstract

October 15: Peter Hall, Australian National University- "Signal Analysis Using Nonuniform Sampling Rates" Abstract

October 22: Joe Hellerstein, Department of Computer Science, UCB- "Querying Sensor Networks" Abstract

October 29: Alex Bajamonde, GeneTech- TBA

November 5: Michael Gaspar, Department of Computer Science, UCB- "Information Theory and Neural Communication, Revisited" Abstract

November 12: Imola K. Fodor, Lawrence Liverman National Laboratory- "Using Independent Component Analysis to Separate Signals in Climate Data" Abstract

November 19: Amy Braverman, Earth and Space Sciences Division- Jet Propulsion Laboratory,California Institute of Technology- "Reducing Size and Complexity of Very Large Geophysical Data Sets" Abstract

November 26: TBA

December 3: Feng Zhao, PARC Research- TBA

December 10: TBA