• I completed my PhD in Statistics at the University of Toronto in 1995. I studied under the supervision of Robert Tibshirani, Professor of Statistics, at Stanford University.


  • My research interests include:

    1. Classification and pattern recognition, and Regression. In particular:
    1(a) Nonparametric classification (including functional data classificaation) when the covariates fragments are not necessarily missing at random
    1(b) Regression function as well as general curve estimation (and inference) in the presence of missing covariates when the MAR assumption may not hold.
    1(c) Lp and supremum norms of local averaging-based regression estimators when missing covariates may be present (with applications to classification and pattern recognition).

    2. Bootstrap methods with applications to kernel density estimation (including deconvolution density estimators). In particular:
    2(a) Weak convergence of Lp and supremum norms of kernel density estimators
    2(b) Weighted bootstrap methods for density estimators

    3. Ensemble methods in classification, pattern recognition, and curve estimation.



    - "Kernel classification with missing data and the choice of smoothing
    parameters." [2017] (with L. Demirdjian). Statistical Papers.
    DOI: 10.1007/s00362-017-0883-y

    - "Kernel Regression Estimation for Incomplete Data With
    Applications" [2017] (with T. Reese). Statistical Papers, 58,
    Issue 1, pp 185-209.

    - "The optimal crowd learningg machine." [2017] (with B. Battogtokh
    and J. Malley). Biodata Mining. DOI: 10.1186/s13040-017-0135-7

    - "Weighted bootstrapped kernel density estimators in two-sample
    problems." [2017] (with W. Pouliot). Journal of Nonparametric
    Statistics 29 (1), 61-84.

    - "On density and regression estimation with incomplete data. " [2016]
    (with K. Manley and W. Pouliot). Communications in Statistics - Theory
    and Methods DOI: 10.1080/03610926.2016.1277751.

    - "An asymptotically optimal combined classifier." [2016] (with J. Kong).
    Statistics and Probability Letters, 119, 91-100.

    - "On the Lp norms of kernel regression estimators for incomplete
    data with applications to classification." [2017] (with T. Reese).
    Statistical Methods & Applications, 26, Issue 1, pp 81-112.

    - "A Simple Method for Combining Estimates to Improve the
    Overall Error Rates in Classification" [2015] (with N. Balakrishnan).
    Computational Statistics, 30, 1033-1049.

    - "On a Weighted Bootstrap Approximation of the Lp Norms of
    Kernel Density Estimators" [2015] (with B. Liu). Statistics and
    Probability Letters, 105, 65-73.

    - "Aggregating Classifiers via Rademacher-Walsh Polynomials"
    [2014] (with Z. Montazeri). Jornal of Statistical Computation
    and Simulation, 85, 1187-1199.

    - "A weighted bootstrap approximation of the maximal deviation
    of kernel density estimates over general compact sets" [2012].
    Journal of Multivariate Analysis. 112: 230-241.

    - "On classification based on totally bounded classes of functions
    when there are incomplete covariates" [2012] (with Z. Montazeri).
    Journal of Statistical Theory and Applications. 11: 353-369.

    - "On the correct regression function (in L_2) and its applications
    when the dimension of the covariate vector is random" [2012].
    Journal of Statistical Planning and Inference. 142: 2586-2598.

    - "Some results on classifier selection with missing covariates"
    [2012]. Mertrika. 75: 521-539.

    - "Classication when the covariate vectors have
    unequal dimensions" [2011] (with S. Chenourin). Journal of
    Statistical Planning and Inference. 141: 1944-1957.

    - "On classification with incomplete covariates" [2011]
    (with Z. Montazeri and A. Rajaeefard). Statistics: A Journal
    of Theoretical and Applied Statistics. 45: 427-450.

    - "A note on the weighted bootstrap approximation of the
    Bickel-Rosenblatt statistic" [2010]. Journal of Statistical
    Research. 44: 219-232.

    - "A note on nonparametric regression with
    beta-mixing sequences" [2010] (With Qunshu Ren).
    Communications in Statistics: Theory and Methods. 39: 2280-2287.

    - "Empirical measures for incomplete data with
    applications" [2009] (With S. Chenouri and Z. Montazeri).
    Electronis Journal of Statistics. Vol. 3: 1021-1038.

    - "Nonparametric estimation of level sets under minimal assumptions"
    [2008] (with Qunshu Ren). Statistics and Probability Letters.
    78 (#17): 3029-3033.

    - "Statistical classification with missing covariates" [2007]
    (with Zahra Montazeri). Journal of the Royal Statistical Society
    Ser. B. 69: 839-857.

    - "Nonparametric curve estimation with missing covariates:
    A general empirical process approach" [2007].
    Journal of Statistical Planning and Inference. 137 (#9): 2733-2758.

    - "Some approximations to Lp-statistics of kernel density
    estimators" [2007]. Statistics. 41 (#3): 203-220.

    - "On nonparametric classification with missing covariates" [2007]
    (with Zahra Montazeri). Journal of Multivariate Analysis.
    98 (#5):1051-1071.

    - "A Note on the Strong Approximation of the Smoothed
    Empirical Process of alpha-mixing Sequences" [2006].
    Statistical Inference for Stochastic Processes. 9 (#1): 97-107.

    - "On empirical processes with missing data and applications" [2005].
    Proceedings of The 5th Seminar on Probability and Stochastic
    Processes, 125-134, Birjand, Iran.

    - "An Almost Surely Optimal Combined Classification Rule [2002].
    Journal of Multivariate Analysis. 81: 28-46.

    - "A Comparison Study of Some Combined Classifiers" [2002].
    Comm. Statis. Simul. Comp. 31: 245-260.

    - "A Generalized Multinomial Discriminant Procedure" [2002].
    Applied Stochastic Models. 18: 357-367.

    - "Classifier Selection From a Totally Bounded Class of
    Functions" [2001]. Statistics and Probability Letters. 52(#4):391-400.

    - "An iterated classification rule based on auxiliary
    pseudo-predictors" [2001]. Computational Statistics
    and Data Analysis. 38(#2):125-138.

    - "The Glivenko-Cantelli theorem based on data with randomly
    imputed missing values" [2001]. Statistics and Probability Letters.
    55: 385-396.

    - "A Kernel-based Combined Classification Rule" [2000].
    Statistics and Probability Letters. 48:411-419.

    - "Combining Classifiers Via Discretization" [1999].
    Journal of the Amer. Statist. Assoc. 94:600-609.

    - "Iterated Bootstrap Prediction Intervals" [1998].
    Statistica Sinica. 2:489-504.

    - "A Consistent Combined Classification Rule" [1997].
    Statistics and Probability Letters. 36:43-47.

    - "Some Results on Bootstrap Prediction Intervals" [1996]
    (with Robert Tibshirani.) Canadian Journal of Statistics. 24:549-568.