Victor Panaretos

A rigorous introduction to the statistical analysis of random functions and random operators. Viewing random functions either as random Hilbert vectors or as stochastic processes, we explore the rich interplay between nonparametrics and multivariate statistics in infinite dimensions.

Linear models

MATH-341

Regression models are fundamental in statistics, because they describe how the law of a random variable of interest may depend on other variables. This course introduces students to the core theory and methods of linear statistical models.

Statistics

MATH-240

This course provides an introduction to the mathematical treatment of the theory of statistical inference using the concept of likelihood as a unifying theme.