Canada Spends Logo

Explorez notre analyse du budget 2026

Grant: Discovery Grants Program - Accelerator Supplements

York University

$80,000.00

Statistical Methods for Model Selection and Model Comparison

EF 2019-20

Résumé
bayesian information criterion,double reversible jump morkov chain,estimating equation,gaussian graphical model,information criterion,non-standard condition,penalty,singular model
Programme
Discovery Grants Program - Accelerator Supplements
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
522718-2018
Name nom
Gao, Xin
Department département
Mathematics and Statistics
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
80000
Program id
RGPAS
Program name en
Discovery Grants Program - Accelerator Supplements
Program name fr
Programme de subventions à la découverte - supplément d'accélération
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1559
Committee name en
DAS Selection Committee
Committee name fr
SAD Comité de sélection
Area of application code
1211
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Medical and health sciences
Area of application fr
Sciences médicales et de la santé
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:2 - 3
Partie
2
Nb partie
3
Application title
Statistical Methods for Model Selection and Model Comparison
Keyword
NSERC
Application summary
bayesian information criterion,double reversible jump morkov chain,estimating equation,gaussian graphical model,information criterion,non-standard condition,penalty,singular model