arrow Publications :
  • Shokoohi*, F., Khalili, A., Asgharian, M., and Lin, S. (2018). Capturing Heterogeneity of covariate Effects in Hidden Subpopulations in the Presence of Censoring and Large Number of Covariates. (Accepted by the Annals of Applied Statistics.)
  • Accepted version

  • Khalili, A. and Vidyashankar, A. N. (2018). Hypothesis Testing in Finite Mixture of Regressions: Sparsity and Model Selection Uncertainty. (Accepted by the Canadian Journal of Statistics.)
  • Accepted version

  • Shohoudi*, A., Khalili, A., Wolfson, D., and Asgharian, M. (2016). Simultaneous Variable Selection and De-coarsening in Multi-path Change-point Models. (Accepted by Journal of Multivariate Analysis.)

  • Zhang*, F., Khalili, A. and Lin, S. (2015). Optimum Study Design for Detecting Imprinting and Maternal Effects Based on Partial Likelihood. (Accepted by Biometrics.) Accepted version

  • Mcgillivray*, A., Khalili, A.(2014). A new penalized quasi-likelihood approach for estimating the number of states in a hidden Markov model. Contemporary Mathematics, Proceeding of the American Mathematical Society: Perspectives on Big Data Analysis: Methodologies and Applications, 622, 37-59.

  • Du*, Y., Khalili, A., Neslehova, J. G. and Steele, R. J. (2013). Simultaneous fixed and random effects selection in finite mixture of linear mixed-effects models. The Canadian Journal of Statistics, 41, 596-616.

  • Khalili, A. and Lin, S. (2013). Regularization in finite mixture of regression models with diverging number of parameters. Biometrics, 69, 436-446.

  • Khalili, A. (2011). An overview of the new feature selection methods in finite mixture of regression models. (Invited Review Paper). Journal of the Iranian Statistical Society, 10, 201-235.

  • 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. Accepted version

  • 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.




arrow 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.




arrow 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.


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