معرفی
Anton Schick is a Bartle Professor in the Department of Mathematics and Statistics at Binghamton University. His research focuses on advanced statistical methodologies, including large sample theory, semiparametric and nonparametric models, and efficient inference for complex data structures like Markov chains and stochastic processes.
- Education: Ph.D. from Michigan State University
His work addresses statistical challenges in handling incomplete data, curve estimation, and U-statistics. Recent publications emphasize empirical likelihood methods for Markov chains, density estimation for linear and nonlinear processes, and robust regression techniques under missing data scenarios.
The articles highlight his expertise in time series analysis, nonparametric regression, and statistical inference. Key themes include efficiency of estimators, convergence properties of density estimators, and applications of empirical likelihood to martingales and autoregressive models.
