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Umeå University
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Staff photo Mohammad Ghasempour

Mohammad Ghasempour

Contact

E-mail
mohammad.ghasempour@umu.se
Phone
+46 90 786 54 57

Works at

Affiliation
Affiliated as postdoctoral position at Umeå School of Business, Economics and Statistics (USBE) Section: Statistics
Location
Samhällsvetarhuset, Biblioteksgränd 6 Umeå universitet, 901 87 Umeå
Machine learning for efficient and robust causal inference and prediction
Statistical studies, 59
Mohammad, Ghasempour
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
Vignette DNNcausal
Mohammad, Ghasempour
Causal inference targeting a concentration index for studies of health inequalities
Mohammad, Ghasempour; de Luna, Xavier; Gustafsson, Per E.
Unsupervised domain adaptation beyond label shift
Mohammad, Ghasempour; de Luna, Xavier; Ma, Yanyuan
View publications in DiVA