Beatrice Acciaio: Catalogue data in Spring Semester 2021 |
Name | Prof. Dr. Beatrice Acciaio |
Field | Mathematics |
Address | Professur für Mathematik ETH Zürich, HG G 54.3 Rämistrasse 101 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 29 55 |
beatrice.acciaio@math.ethz.ch | |
URL | https://people.math.ethz.ch/~beacciaio/ |
Department | Mathematics |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
401-0604-00L | Probability Theory and Statistics ![]() | 4 credits | 2V + 1U | B. Acciaio | |
Abstract | Probability models and applications, introduction to statistical estimation and statistical tests. | ||||
Learning objective | Ability 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. | ||||
Content | The 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 notes | yes | ||||
Literature | Textbuch: P. Brémaud: 'An Introduction to Probabilistic Modeling', Springer, 1988. | ||||
401-5910-00L | Talks in Financial and Insurance Mathematics ![]() | 0 credits | 1K | B. Acciaio, P. Cheridito, D. Possamaï, M. Schweizer, J. Teichmann, M. V. Wüthrich | |
Abstract | Research colloquium | ||||
Learning objective | Introduction to current research topics in "Insurance Mathematics and Stochastic Finance". | ||||
Content | https://www.math.ethz.ch/imsf/courses/talks-in-imsf.html |