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Mohammad Ghasempour
Contact
E-mail
mohammad.ghasempour@umu.se
Phone
+46 90 786 54 57
Works at
Affiliation
Research assistant at
Umeå School of Business, Economics and Statistics (USBE)
Section: Statistics, PhD students
Location
Samhällsvetarhuset, Biblioteksgränd 6
Umeå universitet, 901 87 Umeå
Publications
Publications
Research
Research
2024
Convolutional neural networks for valid and efficient causal inference
Journal of Computational And Graphical Statistics
, Taylor & Francis 2024, Vol. 33, (2) : 714-723
Mohammad, Ghasempour; Moosavi, Niloofar; de Luna, Xavier
View publications in DiVA
Research groups
Group member
Stat4Reg
Research projects
1 June 2022 until 31 December 2026
Machine learning to study causality with big datasets: towards methods yielding valid statistical conclusions
1 January 2017 until 31 December 2021
Statistical models and methods to study life trajectories in the labour market and health domains
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