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Grant: Discovery Grants Program - Individual

Thompson Rivers University

$16,000.00

Statistical learning algorithms for high-dimensional non-normally distributed data

EF 2021-22

Résumé
Classification; Clustering; Computational Statistics; Evolutionary Algorithms; Heterogeneous Data; Missing Data; Statistical Learning; Supervised Learning; Unsupervised Learning
Programme
Discovery Grants Program - Individual
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2018-06787
Name nom
Shaikh, Mateen
Department département
Mathematics & Statistics
Organization id
1809
Institution établissement
Thompson Rivers University
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2018
Award amount
16000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1205
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Mathematical sciences
Area of application fr
Sciences mathématiques
Research subject code
3004
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Applied statistics
Research subject fr
Statistique appliquée
Installment
inst:4
Partie
1
Nb partie
5
Application title
Statistical learning algorithms for high-dimensional non-normally distributed data
Keyword
NSERC
Application summary
Classification; Clustering; Computational Statistics; Evolutionary Algorithms; Heterogeneous Data; Missing Data; Statistical Learning; Supervised Learning; Unsupervised Learning