Patrick Cheridito: Katalogdaten im Herbstsemester 2022

NameHerr Prof. Dr. Patrick Cheridito
LehrgebietVersicherungsmathematik
Adresse
Dep. Mathematik
ETH Zürich, HG F 42.3
Rämistrasse 101
8092 Zürich
SWITZERLAND
Telefon+41 44 633 87 87
E-Mailpatrick.cheridito@math.ethz.ch
URLhttp://www.math.ethz.ch/~patrickc
DepartementMathematik
BeziehungOrdentlicher Professor

NummerTitelECTSUmfangDozierende
364-1058-00LRisk Center Seminar Series0 KP2SH. Schernberg, D. Basin, A. Bommier, D. N. Bresch, S. Brusoni, L.‑E. Cederman, P. Cheridito, F. Corman, H. Gersbach, C. Hölscher, K. Paterson, G. Sansavini, B. Stojadinovic, B. Sudret, J. Teichmann, R. Wattenhofer, U. A. Weidmann, S. Wiemer, M. Zeilinger, R. Zenklusen
KurzbeschreibungThis course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. Students and other guests are welcome.
LernzielParticipants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop novel mathematical models for open problems, to analyze them with computers, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to work scientifically on an internationally competitive level.
InhaltThis course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. For details of the program see the webpage of the colloquium. Students and other guests are welcome.
SkriptThere is no script, but a short protocol of the sessions will be sent to all participants who have participated in a particular session. Transparencies of the presentations may be put on the course webpage.
LiteraturLiterature will be provided by the speakers in their respective presentations.
Voraussetzungen / BesonderesParticipants should have relatively good mathematical skills and some experience of how scientific work is performed.
401-0603-00LStochastik Information Belegung eingeschränkt - Details anzeigen
Diese Lerneinheit wird im HS 2022 letztmals angeboten.
4 KP2V + 1UP. Cheridito
KurzbeschreibungDie Vorlesung deckt folgende Themenbereiche ab: Wahrscheinlichkeiten, Zufallsvariablen, Wahrscheinlichkeitsverteilungen, gemeinsame und bedingte Wahrscheinlichkeiten und Verteilungen, Gesetz der Grossen Zahlen, zentraler Grenzwertsatz, deskriptive Statistik, schliessende Statistik, Parameterschätzung, Vertrauensintervalle, statistische Tests, Vergleich zweier Stichproben, lineare Regression.
LernzielKenntnis der Grundlagen der Wahrscheinlichkeitsrechnung und Statistik.
InhaltEinführung in die Wahrscheinlichkeitstheorie und Statistik.
Skripthttps://stat.ethz.ch/~meier/teaching/skript-intro/skript.pdf
LiteraturLukas Meier: Wahrscheinlichkeitsrechnung und Statistik: Eine Einführung für Verständnis, Intuition und Überblick. Springer, 2020.
401-5910-00LTalks in Financial and Insurance Mathematics Information 0 KP1KB. Acciaio, P. Cheridito, D. Possamaï, M. Schweizer, J. Teichmann, M. V. Wüthrich
KurzbeschreibungResearch colloquium
Lernziel
InhaltRegular research talks on various topics in mathematical finance and actuarial mathematics