CfS Research Day: Business and Economic Statistics
CfS Research Day on Business and Economic Statistics
The CfS Research Day on Business and Economic Statistics is intended to bring together researchers from across Edinburgh who are developing research in Business and Economic Statistics. The aim is not to just have “show and tell” talks about our individual research, but to include overviews accessible to non-experts in the respective sub-fields, plus discussions around themes of interest for potential joint projects and grant proposals. Some seed funding for research proposals will be available after the meeting.
Registration is now closed.
Program:
- 12:00–12:30: Welcome lunch [Common Room; Room 5212].
- 12:30–12:45: Opening and introductions (Miguel de Carvalho).
- 12:45–13:10: Galina Andreeva (School of Business).
- Gender Issues in Algorithmic Decision-Making and Consumer Credit.
- 13:10–13:35: Belen Martin-Barragan (School of Business).
-
Interpretable SVM-based models for Functional Data Analysis.
-
- 13:35–14:00: Steven Dieterle (School of Economics).
-
Regression Discontinuity Designs with Measurement Error.
-
- 14:00–14:30: Discussion.
- 14:30–14:55: Tea and coffee break.
- 14:55–15:20: Chris Dent (School of Mathematics).
-
Statistics, Energy Economic Models and the Real World
-
- 15:20–15:45: Sotirios Sabanis (School of Mathematics).
-
Non-Convex Optimization, Sampling in High-Dimensional Spaces and ML in Economics and Finance.
-
- 15:45–16:10: Andrew Cairns (Heriot–Watt University).
-
Medium Data and Socio-Economic Mortality.
-
- 16:10–16:35: Alan Marshall (Q-Step; School of Social and Political Science).
-
Local Demographic Analysis: Working with Planners and National Statistical Agencies.
-
- 16:35–17:00: Discussion and closing remarks.
Contact:
Presentation files:
The presentation files will be available via OneDrive from UoE accounts:
CfSBusinessEconomicStatistics2019 on OneDrive
Seed funding: Information about eligibility and proposal format is available from here.
