Scientific interests:
	Graphical models for stationary stochastic processes Nonparametric inference Parametric inference and model selection for Gaussian processes Categorical time series GARCH processes and nonlinear time series models
	Causal inference from graphical models Causality graphs Intervention experiments and influence diagrams Problem of confounding
	Applications Identification of synaptic connections from neural spike train data
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Last modified: October 23, 2002 by Michael Eichler Host home page: Department of Statistics, University of Chicago