Vincent Tassion: Catalogue data in Spring Semester 2020

Name Prof. Dr. Vincent Tassion
Professur für Mathematik
ETH Zürich, HG G 36.2
Rämistrasse 101
8092 Zürich
Telephone+41 44 632 87 93
RelationshipAssociate Professor

401-0604-00LProbability Theory and Statistics Information 4 credits2V + 1UV. Tassion
AbstractProbability models and applications, introduction to statistical estimation and statistical tests.
ObjectiveAbility to understand the covered methods and models from probability theory and to apply them in other contexts. Ability to perform basic statistical tests and to interpret the results.
ContentThe concept of probability space and some classical models: the axioms of Kolmogorov, easy consequences, discrete models, densities, product spaces, relations between various models, distribution functions, transformations of probability distributions. Conditional probabilities, definition and examples, calculation of absolute probabilities from conditional probabilities, Bayes' formula, conditional distribution. Expectation of a random variable,application to coding, variance, covariance and correlation, linear estimator, law of large numbers, central limit theorem. Introduction to statistics: estimation of parameters and tests
Lecture notesyes
LiteratureTextbuch: P. Brémaud: 'An Introduction to Probabilistic Modeling', Springer, 1988.
401-3600-20LStudent Seminar in Probability Theory Restricted registration - show details
Limited number of participants.
Registration to the seminar will only be effective once confirmed by email from the organizers.
4 credits2SA.‑S. Sznitman, J. Bertoin, V. Tassion, W. Werner
401-4604-20LNCCR SwissMAP – Master Class in Mathematical Physics: Minicourse "Percolation Theory" Information 2 credits2GV. Tassion
Literature"Percolation" by Geoffrey Grimmett.
" Introduction to percolation theory" Lecture notes by H. Duminil-Copin.
Prerequisites / NoticeProbability Theory
401-5600-00LSeminar on Stochastic Processes Information 0 credits1KJ. Bertoin, A. Nikeghbali, B. D. Schlein, A.‑S. Sznitman, V. Tassion, W. Werner
AbstractResearch colloquium