"False"
Skip to content
umu.se
For students
Library
For staff
Login
Students
View your schedule and courses
Edit
Edit content at umu.se
Svensk webbplats
Search
Menu
X close menu
Menu
Search
Search within:
Search within:
All
Education
Research
Staff
Student web
News
Staff web
Other search services
Find courses and programmes
Library search tool
Search the legal framework
Main menu hidden.
Login
Students
View your schedule and courses
Edit
Edit content at umu.se
Svenska
Mohammad Ghasempour
Contact
E-mail
mohammad.ghasempour@umu.se
Phone
+46 90 786 54 57
Works at
Affiliation
Doctoral student at
Umeå School of Business, Economics and Statistics (USBE)
Units: Statistics, PhD students
Location
Samhällsvetarhuset, Biblioteksgränd 6
Umeå universitet, 901 87 Umeå
Publications
Publications
Research
Research
Convolutional neural networks for valid and efficient causal inference
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
+ Show more
- Show less
