| Variable selection in finite mixture of regression models A Khalili, J Chen Journal of the american Statistical association 102 (479), 1025-1038, 2007 | 295 | 2007 |
| Order selection in finite mixture models with a nonsmooth penalty J Chen, A Khalili Journal of the American Statistical Association 104 (485), 187-196, 2009 | 104 | 2009 |
| New estimation and feature selection methods in mixture‐of‐experts models A Khalili Canadian Journal of Statistics 38 (4), 519-539, 2010 | 64 | 2010 |
| Regularization in finite mixture of regression models with diverging number of parameters A Khalili, S Lin Biometrics 69 (2), 436-446, 2013 | 40 | 2013 |
| Pairwise network mechanisms in the host signaling response to coxsackievirus B3 infection FS Garmaroudi, D Marchant, X Si, A Khalili, A Bashashati, BW Wong, ... Proceedings of the National Academy of Sciences 107 (39), 17053-17058, 2010 | 38 | 2010 |
| An overview of the new feature selection methods in finite mixture of regression models A Khalili Journal of the Iranian Statistical Society 10 (2), 201-235, 2022 | 30 | 2022 |
| Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space A Khalili, J Chen, S Lin Biostatistics 12 (1), 156-172, 2011 | 27 | 2011 |
| Estimating the number of components in finite mixture models via the group-sort-fuse procedure T Manole, A Khalili The Annals of Statistics 49 (6), 3043-3069, 2021 | 23 | 2021 |
| Post-model-selection inference in linear regression models: An integrated review D Zhang, A Khalili, M Asgharian Statistic Surveys 16, 86-136, 2022 | 22 | 2022 |
| Gamma-normal-gamma mixture model for detecting differentially methylated loci in three breast cancer cell lines A Khalili, D Potter, P Yan, L Li, J Gray, T Huang, S Lin Cancer Informatics 3, 117693510700300012, 2007 | 22 | 2007 |
| Simultaneous fixed and random effects selection in finite mixture of linear mixed‐effects models Y Du, A Khalili, JG Nešlehová, RJ Steele Canadian Journal of Statistics 41 (4), 596-616, 2013 | 18 | 2013 |
| A robust unified approach to analyzing methylation and gene expression data A Khalili, T Huang, S Lin Computational statistics & data analysis 53 (5), 1701-1710, 2009 | 13 | 2009 |
| Regularization and selection in Gaussian mixture of autoregressive models A Khalili, J Chen, DA Stephens Canadian Journal of Statistics 45 (4), 356-374, 2017 | 10 | 2017 |
| Capturing heterogeneity of covariate effects in hidden subpopulations in the presence of censoring and large number of covariates F Shokoohi, A Khalili, M Asgharian, S Lin | 6 | 2019 |
| Estimating sparse networks with hubs A McGillivray, A Khalili, DA Stephens Journal of Multivariate Analysis 179, 104655, 2020 | 5 | 2020 |
| Imprinting and maternal effect detection using partial likelihood based on discordant sibpair data F Zhang, A Khalili, S Lin Statistica Sinica 29 (4), 1915-1937, 2019 | 5 | 2019 |
| Optimum study design for detecting imprinting and maternal effects based on partial likelihood F Zhang, A Khalili, S Lin Biometrics 72 (1), 95-105, 2016 | 5 | 2016 |
| Sparseness, consistency and model selection for Markov regime-switching gaussian autoregressive models A Khalili, DA Stephens Statistica Sinica 31 (4), 1891-1914, 2021 | 2 | 2021 |
| Hypothesis testing in finite mixture of regressions: Sparsity and model selection uncertainty A Khalili, AN Vidyashankar Canadian Journal of Statistics 46 (3), 429-457, 2018 | 2 | 2018 |
| Simultaneous variable selection and de-coarsening in multi-path change-point models A Shohoudi, A Khalili, DB Wolfson, M Asgharian Journal of Multivariate Analysis 147, 202-217, 2016 | 2 | 2016 |
Chen, JiahuaProfessor of Statistics, UBC, Guest Prof at Yunnan UVerified email at stat.ubc.ca
