Grant: Postgraduate Scholarships - Doctoral
University of Oxford
$33,666.67
Instrumental Variables, Mendelian Randomization and Double Machine Learning
EF 2024-25
Résumé
causal inference, instrumetal variables, Mendelian randomization, two-sample, invalid instruments, variable selection, double machine learning, econometrics, post-selection inference, inverse variance weighting
Programme
Postgraduate Scholarships - Doctoral
Bénéficiaire
Emplacement
UNITED KINGDOM
Type de bénéficiaire
Not-for-profit organization or charity
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
577993-2023
Name nom
Tse, Jeffrey J
Department département
Statistics
Organization id
351
Institution établissement
University of Oxford
Country en
UNITED KINGDOM
Country fr
ROYAUME-UNI
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
33666.67
Program id
PGSD
Program name en
Postgraduate Scholarships - Doctoral
Program name fr
Bourses d'études supérieures - doctorat
Group en
RESEARCH TRAINING AND TALENT DEVELOPMENT
Group fr
FORMATION EN RECHERCHE ET PERFECTIONNEMENT DES COM
Committee code
177
Committee name en
S&F Selection Committee for Mathematical Sciences
Committee name fr
Comité de sélection des bourses en mathématiques
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Instrumental Variables, Mendelian Randomization and Double Machine Learning
Application summary
causal inference, instrumetal variables, Mendelian randomization, two-sample, invalid instruments, variable selection, double machine learning, econometrics, post-selection inference, inverse variance weighting
