Course

Asymptotic Statistics

Teacher(s)

Marina Khismatullina
Research field

Econometrics
Dates

Period 1 - Sep 04, 2023 to Oct 27, 2023

Course type

Core
Program year

First
Credits

4

Course description

This is a crash course, highlighting the main principles of asymptotic methods in statistics.

Topics covered:
Multivariate central limit theorem, quadratic forms, delta-method, moment estimators, Z- and M-estimators, consistency and asymptotic normality, maximum likelihood estimators, nonparametric estimation.

Prerequisites

Solid knowledge of the principles of statistics and of mathematical analysis

Course literature

Primary reading
Van der Vaart, A.W. “Mathematische statistiek.” Lecture notes (1995): 1-77.
Van der Vaart, A.W. "Asymptotic statistics." (2007):