Grant: Canada Research Chairs
University of British Columbia
$200,000.00
Statistical Inference
FY 2017-18
Summary
Statistical methods for mixture models can tease out information about the characteristics of population subgroups, even including estimation of the number of subgroups present. These methods play a key role in the study of genetic diversity and in pinpointing the genetic origins of disease. Development of effective methods for mixture models has challenged many talented statisticians, due to the mathematical irregularity of these models. Previously, I focused on these challenges, resulting in the successful development of a series of powerful tests. I have published several papers on these tests and have received positive feedback from both researchers and practitioners.
Program
Canada Research Chairs
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
1000229172-2013
Name nom
Chen, Jiahua
Department département
Dept. of Statistics, Faculty of Science
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2013
Award amount
200000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
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
Partie
0
Application title
Statistical Inference
Keyword
CRC
Application summary
Statistical methods for mixture models can tease out information about the characteristics of population subgroups, even including estimation of the number of subgroups present. These methods play a key role in the study of genetic diversity and in pinpointing the genetic origins of disease. Development of effective methods for mixture models has challenged many talented statisticians, due to the mathematical irregularity of these models. Previously, I focused on these challenges, resulting in the successful development of a series of powerful tests. I have published several papers on these tests and have received positive feedback from both researchers and practitioners.
