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statistical methods in financial econometrics and risk managements,
computational biology, biostatistics, highdimensional statistical learning,
dataanalytic modeling, longitudinal and functional data analysis, nonlinear
time series, wavelets and their applications, among others. Our primary
research focuses on developing and justifying statistical methods that are
used to solve problems from the frontiers of scientific research. This is
expanded into other disciplines where the statistics discipline is useful. Recently, our group is particularly interested in financial econometrics, risk management, computational biology, biostatistics, highdimensional dataanalytic modeling and inferences, nonlinear time series, analysis of longitudinal and functional data, and other interdisciplinary collaborations. 


























Fan's Financial
Econometrics Lab, Princeton University  Rm 222 ORFE Building, Princeton, NJ
08544 





