Grant: Postgraduate Scholarships - Doctoral
Carnegie Mellon University
$21,000.00
Statistical Inference and Applications of Optimal Transport Theory
FY 2022-23
Summary
Nonparametric Statistics, Statistical Inference, Optimal Transport, Wasserstein Distance, Confidence Intervals, Minimax Rate, Domain Adaptation, Particle Physics, Sequential Analysis, Expected Shortfall
Program
Postgraduate Scholarships - Doctoral
Recipient
Location
Pennsylvania, UNITED STATES
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
545822-2020
Name nom
Manole, Tudor TA
Department département
Statistics
Organization id
1521
Institution établissement
Carnegie Mellon University
Province en
Pennsylvania
Province fr
Pennsylvanie
Country en
UNITED STATES
Country fr
ÉTATS-UNIS
Fiscal year exercice financier
2022
Competition year année de concours
2020
Award amount
21000
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
3000
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Statistics and probability
Research subject fr
Statistique et probabilité
Installment
inst:6;7
Partie
2
Nb partie
7
Application title
Statistical Inference and Applications of Optimal Transport Theory
Application summary
Nonparametric Statistics, Statistical Inference, Optimal Transport, Wasserstein Distance, Confidence Intervals, Minimax Rate, Domain Adaptation, Particle Physics, Sequential Analysis, Expected Shortfall
