Abstracts
        Vidyadhar Godambe, University of Waterloo
          A Fundamental Paradox of Statistics
          A very common instance of statistical inference is studied. Its paradoxical 
          nature in all formal theories of statistical inference is established.
        
        Peter Guthrie, University of Western Ontario
          Predicting how fast a chemical reaction will occur
          How fast a chemical reaction will occur depends not just upon the overall 
          thermodynamics, but also upon an intrinsic kinetic barrier, which depends 
          on the nature of the transformation. I have developed a new way of thinking 
          about reactions which allows relatively straightforward calculation 
          of the rate of any reaction. The key is that if only one thing happens 
          then energy depends in a very simple way on the progress of the transformation. 
          This allows calculations of the rate when (as in all real reactions) 
          more than one thing must happen for the chemical reaction to occur. 
          The approach also provides a qualitative way of thinking about which 
          of two reactions will be faster, without requiring rate information.
        Niky Kamran, Department of Mathematics 
          and Statistics, McGill University. 
          Wave equations in Kerr Geometry
          We will give a motivated introduction to the study of long-time behavior 
          of the solutions of the classical wave equations in the exterior geometry 
          of a rotating black hole in equilibrium. We will notably present some 
          results obtained with Felix Finster, Joel Smoller and Shing-Tung Yau 
          on the Dirac and scalar wave equations. 
        
Neal Madras, Department of Mathematics 
          and Statistics, York University
           Self-Avoiding Walks and Related Models
          A self-avoiding walk is a path in a lattice that does not visit any 
          point more than once. The self-avoiding walk and several associated 
          models have attracted much interest in the past half-century for several 
          reasons: for chemists, they are simple discrete models of long-chain 
          polymer molecules; for physicists, they exhibit scaling behaviour and 
          phase transitions that make them interesting and accessible models for 
          investigating critical phenomena; and for mathematicians, they are the 
          source of many simply stated problems that seem to defy rigorous solution. 
          This talk will present an overview of the self-avoiding walk and related 
          models, and of some of the important questions associated with them.