This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a University of Guelph directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $72,000
Causal Structure Learning from Sparse High Dimensional Data
NSERC · 2021 · Principal investigator
- $77,000
Exploiting Graphical Structure in Model Search for High Dimensional Data
NSERC · 2013 · Principal investigator
- $117,900
Genetic analysis of milk spectral data to develop management and selection tools to improve the nutraceutical properties of milk
NSERC · 2010 · Co-investigator
Causal Structure Learning from Sparse High Dimensional Data
Principal investigators: Ali, Rebecca
Keywords: graphical markov models; causal structure learning; high dimensional data; multivariate statistics; plant-pollinator networks; dirichlet-multinomial regression; regularization; directed acyclic graphs; model selection; variable selection
Exploiting Graphical Structure in Model Search for High Dimensional Data
Principal investigators: Ali, Rebecca Ayesha
Genetic analysis of milk spectral data to develop management and selection tools to improve the nutraceutical properties of milk
Principal investigators: Schenkel, Flavio
NSERC - CANPOLIN (Canadian Pollination Initiative)
Principal investigators: Kevan, Peter
Causal inference via graphical Markov models
Principal investigators: Ali, RebeccaAyesha
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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