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This year the Econometrics Laboratory at U.C. Berkeley is conducting its sixth annual summer symposium, sponsored by the National Science Foundation. The subject of this year's symposium is statistical inference for time-dependent data generated from (possibly) nonlinear models. Invited participants will include statisticians, econometricians, and biometricians. Topics under consideration range from theoretical developments in methods for detection of singularities and regime shifts in stochastic processes, and estimation of the parameters of such processes, to applications of nonlinear models of data dependence to problems in economics, finance, signal detection, biometrics, and the physical sciences. An important goal of the symposium is the exploration of the commonalities in problems and methods across different academic disciplines, and the exchange of methodological advances between them.

The symposium will run from August 3 through August 8, 1998, and will utilize facilities provided by the Department of Economics and the Econometrics Laboratory on the University of California, Berkeley campus. The symposium is being organized by Professors James Powell, Department of Economics, and Peter Bickel, Department of Statistics, UC Berkeley. Assistance is being provided by Grace Katagiri, Manager of the Econometrics Laboratory.