Thursday, September 17 2015, 3:30pm Paul University of CA at Davis We propose a nonparametric estimator of the dynamics of monotonically increasing or decreasing trajectories defined on a finite time interval. Such trajectories can be described as solutions of autonomous ODEs. Under suitable regularity conditions, we derive the optimal rate of convergence for the proposed estimator and show that it is the same as that for estimating the derivative of a trajectory. We also show that commonly used two-stage estimation schemes are typically inefficient. http://www.stat.ucdavis.edu/~debashis/
