401-3620-21L  Student Seminar in Statistics: Statistical Network Modeling

SemesterSpring Semester 2021
LecturersP. L. Bühlmann, M. Azadkia, M. H. Maathuis, M. Mächler, N. Meinshausen, S. van de Geer
Periodicityevery semester recurring course
Language of instructionEnglish
CommentNumber of participants limited to 48.
Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics. Also offered in the Master Programmes Statistics resp. Data Science.



Courses

NumberTitleHoursLecturers
401-3620-00 SStudent Seminar in Statistics: Statistical Network Modeling2 hrs
Mon16-18HG E 33.1 »
16-18ML F 40 »
P. L. Bühlmann, M. Azadkia, M. H. Maathuis, M. Mächler, N. Meinshausen, S. van de Geer

Catalogue data

AbstractNetwork models can be used to analyze non-iid data because their structure incorporates interconnectedness between the individuals. We introduce networks, describe them mathematically, and consider applications.
ObjectiveNetwork models can be used to analyze non-iid data because their structure incorporates interconnectedness between the individuals. The participants of the seminar acquire knowledge to formulate and analyze network models and to apply them in examples.
LiteratureE. D. Kolaczyk and G. Csárdi. Statistical analysis of network data with R. Springer, Cham, Switzerland, second edition, 2020.

Tianxi Li, Elizaveta Levina, and Ji Zhu. Network cross-validation by edge sampling, 2020. Preprint arXiv:1612.04717.

Tianxi Li, Elizaveta Levina, and Ji Zhu. Community models for partially observed networks from surveys, 2020. Preprint arXiv:2008.03652.

Tianxi Li, Elizaveta Levina, and Ji Zhu. Prediction Models for Network-Linked Data, 2018. Preprint arXiv:1602.01192.
Prerequisites / NoticeEvery class will consist of an oral presentation highlighting key ideas of selected book chapters by a pair of students. Another two students will be responsible for asking questions during the presentation and providing a discussion of the the presented concepts and ideas, including pros+cons, at the end. Finally, an additional two students are responsible for giving an evaluation on the quality of the presentations/discussions and provide constructive feedback for improvement.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersP. L. Bühlmann, M. Azadkia
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

 
Main linkMoodle
Only public learning materials are listed.

Groups

401-3620-00 SStudent Seminar in Statistics: Statistical Network Modeling
GroupsG-01
Mon16-18HG E 33.1 »
G-02
Mon16-18ML F 40 »

Restrictions

PlacesLimited number of places. Special selection procedure.
Beginning of registration periodRegistration possible from 04.01.2021
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupData Science MSc (261000)
Mathematics BSc (404000) starting semester 05
Statistics MSc (436000)
Mathematics MSc (437000)
Applied Mathematics MSc (437100)
Mathematics (Mobility) (448000)
Waiting listuntil 01.03.2021
End of registration periodRegistration only possible until 19.02.2021

Offered in

ProgrammeSectionType
Data Science MasterSeminarWInformation
Mathematics BachelorSeminarsWInformation
Mathematics MasterSeminarsWInformation
Statistics MasterSeminar or Semester PaperWInformation