AMS Sectional Meeting Program by Special Session

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1991 Central Section Meeting
South Bend, IN, March 15-16, 1991
Meeting #864

Associate secretaries:
Andy R Magid, AMS

Special Session on Probability and Prediction Theory

  • Friday March 15, 1991, 8:00 a.m.-9:50 a.m.
    Special Session on Probability and Prediction Theory, I

    Room 013, Northside Hall

    • 8:00 a.m.
      On mixing conditions and Markov representation.
      Richard C. Bradley*, Indiana University, Bloomington
    • 8:30 a.m.
      Necessary and sufficient conditions for a second-order Wiener-Ito integral process to be mixing.
      Daniel W. Chambers*, Boston College
    • 9:00 a.m.
      Limit theorems for non-linear functions of a stationary vector-valued Gaussian process.
      Tae-Il Jeon, Wayne State University
      Tze-Chien Sun*, Wayne State University
    • 9:30 a.m.
      Prediction for I.D. processes: Some recent developments.
      Balram S. Rajput*, University of Tennessee, Knoxville
  • Friday March 15, 1991, 2:00 p.m.-5:20 p.m.
    Special Session on Probability and Prediction Theory, II

    Room 013, Northside Hall

    • 2:00 p.m.
      Deconvolutions and the commutant lifting theorem.
      Ciprian Foias*, Indiana University, Bloomington
    • 2:30 p.m.
      Infinite dimensional stationary sequences with multipicity one.
      A. Makagon, Michigan State University
      H. Salehi*, Michigan State University
    • 3:00 p.m.
      Continuous time periodically correlated processes: Spectrum and prediction.
      A. Makagon*, Technical University of Wroclaw, Poland and Michigan State University
      A. G. Miamee, Hampton University
      H. Salehi, Michigan State University
    • 3:30 p.m.
      Correlation autoregressive processes.
      A. G. Miamee*, Hampton University
    • 4:00 p.m.
      J. von Neumann alternating projections and interpolation of stationary processes.
      Mohsen Pourahmadi*, Northern Illinois University
    • 4:30 p.m.
      Informal Discussion
    • 5:00 p.m.
      Unrestrained relative entropy.
      P. R. Masani*, University of Pittsburgh, Pittsburgh
  • Saturday March 16, 1991, 7:00 a.m.-9:50 a.m.
    Special Session on Probability and Prediction Theory, III

    Room 013, Northside Hall

    • 7:00 a.m.
      Level crossings, multiple Wiener integrals, and prediction.
      Eric V. Slud*, University of Maryland, College Park
    • 7:30 a.m.
      Stability in distribution for a class of singular diffusions.
      Gopal Basak, University of California, Berkeley
      Rabi Bhattacharya*, Indiana University, Bloomington
    • 8:00 a.m.
      On the a.s. convergence in the sampling theorem.
      Christian Houdr\'e*, University of Maryland, College Park
    • 8:30 a.m.
      Central limit theorems for classical fiber bundles.
      Joseph Yukich*, Lehigh University
    • 9:00 a.m.
      Simulations of solutions of stochastic differential equations.
      Philip Protter*, Purdue University, West Lafayette
    • 9:30 a.m.
      Logistic prediction of exceedances.
      Benjamin Kedem*, University of Maryland, College Park
  • Saturday March 16, 1991, 2:00 p.m.-4:50 p.m.
    Special Session on Probability and Prediction Theory, IV

    Room 013, Northside Hall

    • 2:00 p.m.
      On the law of large numbers for the bootstrap mean.
      S\'andor Cs\"org\H o*, University of Michigan, Ann Arbor
    • 2:30 p.m.
      Inequalities for partial sums of multi-dimensional arrays of independent random vectors.
      Nasrollah Etemadi*, University of Illinois, Chicago
    • 3:00 p.m.
      Marcinkiewicz strong laws of large numbers for random fields in Banach spaces.
      Robert L. Taylor*, University of Georgia
    • 3:30 p.m.
      Some strong laws of large numbers for sums of random elements.
      Andr\'e Adler, Illinois Institute of Technology
      Andrew Rosalsky*, University of Florida
      Robert L. Taylor, University of Georgia
    • 4:00 p.m.
      Almost sure limit theorems for normalized sums of random variables.
      Andre Adler*, Illinois Institute of Technology
    • 4:30 p.m.
      Symmetry groups for random vectors.
      Mark M. Meerschaert*, Albion College