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Research
Latest papers
Conformal Selection for Efficient and Accurate Compound Screening in Drug Discovery.
Journal of chemical information and modeling · 2025
Sparse estimation in semiparametric finite mixture of varying coefficient regression models.
Biometrics · 2023 · first author
Optimum study design for detecting imprinting and maternal effects based on partial likelihood.
Biometrics · 2016
Latest funding
- $144,000
High-dimensional Data Analysis: Modeling Unobserved Heterogeneity in Data, and Studying Imbalanced Classification Problems
NSERC · 2020 · Principal investigator
- $70,000
Statistical inference in finite mixture of regressions and mixture-of-experts models in high-dimensional spaces, and varying coefficient finite mixture of regression models
NSERC · 2015 · Principal investigator
- $80,000
Model selection and statistical inference in mixture distributions and hidden markov (regression) models
NSERC · 2010 · Principal investigator
5 publications.
Conformal Selection for Efficient and Accurate Compound Screening in Drug Discovery.
Bai T, Tang P, Xu Y, Svetnik V, Yang B, Khalili A, Yu X, Yang AY
Sparse estimation in semiparametric finite mixture of varying coefficient regression models.
Khalili A, Shokoohi F, Asgharian M, Lin S
Optimum study design for detecting imprinting and maternal effects based on partial likelihood.
Zhang F, Khalili A, Lin S
Regularization in finite mixture of regression models with diverging number of parameters.
Khalili A, Lin S
Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space.
Khalili A, Chen J, Lin S
High-dimensional Data Analysis: Modeling Unobserved Heterogeneity in Data, and Studying Imbalanced Classification Problems
Principal investigators: Khalili, Abbas
Keywords: high-dimensional data; supervised learning methods; mixture of regression models; markov regime-switching models; hidden markov models; model selection; variable selection; high-dimensional imbalanced classification; post-selection inference
Statistical inference in finite mixture of regressions and mixture-of-experts models in high-dimensional spaces, and varying coefficient finite mixture of regression models
Principal investigators: Khalili, Abbas
Model selection and statistical inference in mixture distributions and hidden markov (regression) models
Principal investigators: Khalili, Abbas
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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