Lectures:
Inferential Statistics (UCD, Spring Trimester 2024/25)
Statistics and Probability (UCD, Spring Trimester 2024/25)
Introduction to Data Analytics (UCD, Autumn Trimester 2024/25)
Statistics and Probability (UCD, Spring Trimester 2023/24)
Causality (KU, Block 4 2022/23)
PhD students:
Moises Chavira Flores: Information theoretic bounds in probabilistic graphical models.
Master thesis supervision:
Trivedi Venkatesh (2024): Analysing and visualising temporal health trends: A comparative study of changes between two censuses.
Søren Thomsen (2022): Causal attribution in linear models
Zehao Su (2021): Testing over-identifying constraints for verification of total causal effect estimation
Milan Kuzmanovic (2020): Total effect estimate based test statistic for causal graphs
Helgi Holdarson (2019): Causal inference on partially observed data using partial deletion and multiple imputation
Martin Buttenschön (2019): A graphical criterion for the asymptotic efficiency of conditional instrumental variables
Lukas Hofmann (2018): Estimating the causal effect of case management health care expenditure