Statistics is the mathematical discipline that aims to make sense of data generated by a random phenomenon. Its goal is to determine the characteristics of the random phenomenon (the process of statistical inference) and quantify their uncertainty.

This course will introduce the basic notions of statistics, where essentially all results are rigorously proved.

We will cover the following topics:

- Regular Probability Models
- Sampling from Probability Distributions
- Point Estimation of Model Parameters
- Tests of Hypotheses for Model Parameters
- Confidence Intervals for Model Parameters

The lecture will mostly follow the book "Statistics for Mathematicians" by Victor M. Panaretos (available online here).

The first lecture will take place on Monday, February 19th.

The first exercise session will take place on Thursday, February 22nd.