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Quantitative Methods and Learning
Research Seminar

Tuesdays, 5.15 p.m. - 6.30 p.m.
during lecture time

We cordially invite you to the new research seminar "Quantitative Methods and Learning” organised by the Faculty of Mathematics and Statistics (Lyudmila Grigoryeva) and the Swiss Institute for Empirical Economic Research (David Preinerstorfer). This seminar is a platform for disseminating and exploring cutting-edge research in statistics, econometrics, statistical learning, and machine learning. With a primary focus on fostering academic exchange and excellence, the seminar seeks to establish a stimulating environment where scholars, practitioners, and students can contribute to advancing quantitative methods.

The scope of this research seminar encompasses a wide range of topics pertaining to quantitative analysis and learning techniques and focuses on methodological developments in advanced statistical modeling, econometric theory, machine learning, and their practical applications. 

The research seminar will be held at 5.15 p.m. Tuesdays (please consult the schedule). 

Spring 2024

Date

Time/Location

Presenter

Title of Presentation

Tuesday, 
19 März
17:15 - 18:30    
Room 07-003
Giulia Liveri
London School of Economics
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastiv Analysis
Tuesday,
2 April
Semester break
Tuesday,
9 April
Semester break
Tuesday,
16 April
17:15 - 18:30    
Room 07-003
Karsten Schweikert
University of Hohenheim
Direct Estimation of Information Shares in Higher-Order Continuous Time Models
Tuesday,
23 April
17:15 - 18:30   
Room 07-003
Klaus Ackermann
Monash
Counterfactual Predictions in Shared Markets: A Global Forecasting Approach with Deep Learning and Spillover Considerations
Tuesday,
30 April
17:15 - 18:30
Room 22-001
Simon Mayer
HSG, School of Computer Science
Ubiquitous Computing Environments and Their Inhabitants
Tuesday,
7 Mai
17:15 - 18:30
Room 01-102

 
 
Tuesday,
14 Mai
17:15 - 18:30
Room 07-003
Liyang Sun
UCL
Adapting to misspecification
Wednesday, 15 Mai
14:15-15:30
Room 01-102
 
Giovanni Melace
SDU
Limited Monotonicity and the Combined Compliers LATE
Tuesday,
21 Mai
17:15 - 18:30
Room 01-102
Anastasia Papavasiliou
University of Warwick
The inverse problem for single trajectories of rough differential equations.

 

Contact us

For more information about the Political Science Research Seminar or to be placed on the weekly mailing list, please contact:

Lyudmila Grigoryeva

Prof. Ph.D.

Associate Professor in quantitative Methods

M+S
Bodanstrasse 6
9000 St Gallen

David Preinerstorfer

Prof. PhD

Associate Professor for Econometrics

SEW-HSG
Büro 06-007
Varnbüelstrasse 14
9000 St. Gallen

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