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Research
Latest funding
- $96,000
Penalty, non-penalty shrinkage and ensemble methods for low and high dimensional data
NSERC · 2019 · Principal investigator
- $90,000
Shrinkage, Pretest, and Penalty Estimation Methods and Their Applications
NSERC · 2013 · Principal investigator
Penalty, non-penalty shrinkage and ensemble methods for low and high dimensional data
Principal investigators: Hossain, Md
Keywords: pretest and shrinkage strategies; penalty shrinkage; bias and risk analysis; relative mean squared error; monte carlo simulation; ensemble method; survival analysis and event history; high dimensional sparse models; health services research; post selection and estimation
Shrinkage, Pretest, and Penalty Estimation Methods and Their Applications
Principal investigators: Hossain, MdShakhawat
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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