The course covers sufficient statistics, complete statistics, ancillary statistics,
unbiased estimation, statistical efficiency, parametric and semiparametric inference.
The course covers Gaussian fields, Gaussian Markov random fields, Autoregressive models, Point processes, and Stochastic differential equation models.