Publications : Khalili, A. and Lin, S. (2013). Regularization in finite mixture of regression models with diverging number of parameters. (Accepted, Biometrics) Khalili, A. (2011). An overview of the new feature selection methods in finite mixture of regression models. (Invited Review Paper, Accepted) Khalili, A., Chen, J. and Lin, S. (2011). Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space. Biostatistics, 12, 156-172. Khalili, A. (2010). New Estimation and Feature Selection Methods in Mixture-of-Experts Models. The Canadian Journal of Statistics, 38, 519-539. Garmaroudi, F., Marchant, D., Si, X., Khalili, A., et al. (2010). Pairwise network mechanisms in the host signaling response to coxsackievirus B3 infection. Proceedings of the National Academy of Sciences (PNAS), USA, 107, 17053-17058. paper Khalili, A., Huang, T. and Lin, S. (2009) A Robust Unified Approach to Methylation and Gene Expression Profiling through Flexible Modeling of Variation. Journal of Computational Statistics and Data Anlaysis, 53, 1701-1710. Chen, J. and Khalili, A. (2008). Order Selection in Finite Mixture Models with a Non-smooth Penalty. Journal of the American Statistical Association, 103, 1674-1683. Khalili, A. and Chen, J. (2007). Variable Selection in Finite Mixture of Regression Models. Journal of the American Statistical Association, 102, 1025-1038. Khalili, A., Potter, D., Yan, P., Li, L., Gray, J., Huang, T., and Lin, S. (2007). Gamma-Normal-Gamma Mixture Model for Detecting Differentially Methylated Loci in Three Breast Cancer Cell Lines. Cancer Informatics, 2, 43-54. Khalili, A. (2006). Order Selection in Classical Finite Mixture Models, and Variable Selection and Inference in Finite Mixture of Regression Models, PhD Thesis, Department of Statistics and Actuarial Sciences, University of Waterloo, Canada. Submitted and Working Papers : Khalili, A. (2011) Autoregressive-order Estimation in the Multipath Change-point Problems for Correlated Data. Order Estimation in Finite Mixture of Von Mises distributions. (Joint with P. Li) Hypothesis Test in Mixture of Von Mises distributions. (Joint with J. Chen) Journal Reviewer : Journal of the American Statistical Association (JASA). The Canadian Journal of Statistics. Biometrics. BMC Genetics. Journal of Computational Statistics and Data Analysis. Statistical Applications in Genetics and Molecular Biology. Journal of Statistics and Probability Letters.