Random Combinatorial Structures 2019

A model that converges to the Gaussian distribution.

This is the webpage for the course of Random Combinatorial Structures.

Teacher: Valentin Féray

Lectures: Fr 10.15 – 12.00, Room: Y27H25

Exercises: Mo 8.25 – 10.00, Room: Y27H25

UZH-Webpage of the course

Some notes on the various notions of convergence for real-valued random variables: CONVERGENCE FOR RANDOM VARIABLES

I’m in charge of the exercise sessions for this course. I will publish here one exercise sheet per week.

Exercices 1 (Solutions 1)

Exercices 2 (Solutions 2)

Exercices 3 (Solutions 3)

Exercices 4 (Solutions 4)

Exercices 5 (Solutions 5)

Exercices 6 (Solutions 6)

Exercices 7 (Solutions 7)

Exercices 8 (Solutions 8)

Exercices 9 (Solutions 9)

Exercices 10 (Solutions 10)

Exercices11 (Solutions 11) (EulerPrime)

Azuma’s inequality (examples)

Exam (Solutions)

Some interesting videos: