Grant: Canada Research Chairs
The University of Western Ontario
$200,000.00
Data Science
EF 2023-24
Résumé
With the rapid advancement of technology in acquiring data, large data sets are becoming more accessible than ever before. However, these data sets present great challenges in extracting useful information for decision making because of issues concerning the quality and complexity of the information. It is imperative to address these issues to generate valid, evidence-based results. This research will develop novel and flexible modeling, estimation and learning tools to handle multi-dimensional data with measurement error and missing observations. Innovative methodology will be developed to advance foundational work and to facilitate scientific applications in public health, medical studies and data science.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CRC-2019-00427
Name nom
Yi, Grace
Department département
Head Office
Organization id
36
Institution établissement
The University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2019
Award amount
200000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR 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
10000
Research subject group en
The field of research available
Research subject group fr
The field of research available
Research subject en
Le domaine de recherche disponible
Research subject fr
Le domaine de recherche disponible
Field of research list codes
RDF10103
Field of research list names en
Statistics
Field of research list names fr
Statistique
Application title
Data Science
Keyword
statistical science
data science
noisy data
measurement error
missing observations
high dimensional data
machine learning
statistical modeling
causal inference
Application summary
With the rapid advancement of technology in acquiring data, large data sets are becoming more accessible than ever before. However, these data sets present great challenges in extracting useful information for decision making because of issues concerning the quality and complexity of the information. It is imperative to address these issues to generate valid, evidence-based results. This research will develop novel and flexible modeling, estimation and learning tools to handle multi-dimensional data with measurement error and missing observations. Innovative methodology will be developed to advance foundational work and to facilitate scientific applications in public health, medical studies and data science.
