[2024] "A kernel-type regression estimator for NMAR response variables
with applications to classification" (with A. Khudaverdyan).
Statistics and Probability Letters (Elsevier) , 215, 110246.
https://doi.org/10.1016/j.spl.2024.110246
Supplementary proofs are here.

[2024] "On regression and classification with possibly missing response variables
in the data" (with W. Pouliot and A. Shakhbandaryan).
Metrika (Springer) , 87, 607-648.
https://link.springer.com/article/10.1007/s00184-023-00923-3

[2022] "On the maximal deviation of kernel regression estimators with NMAR
response variables"
Statistical Papers (Springer), 63, 1677-1705
https://link.springer.com/article/10.1007/s00362-022-01293-0

[2021] "A note on the performance of bootstrap kernel density estimation with
small re-sample sizes" (A virtual bootstrap for sup-functionals of kernel density
estimators in Big-data scenarios.)
Statistics and Probability Letters (Elsevier), 178, 109189
https://doi.org/10.1016/j.spl.2021.109189

[2021] "On classification with nonignorable missing data"
Journal of Multivariate Analysis (Elsevier), 184, 104755.
https://authors.elsevier.com/sd/article/S0047-259X(21)00033-6

[2021] "A nearest-neighbor-based ensemble classifier and its large-sample optimality"
(with W. Pouliot ) Journal of Statistical Computation and Simulation (Taylor & Francis), 91, 2034-2050.
https://doi.org/10.1080/00949655.2021.1882458

[2021] "On statistical classification with incomplete covariates via filtering"
(with M.-H. Nguyen )
Journal of Statistical Computation and Simulation (Taylor & Francis), 91, 1342-1365.
https://doi.org/10.1080/00949655.2020.1856379

[2020] "On histogram-based regression and classification with incomplete
data" (with E. Han ) Metrika (Springer), 84,635-662.
https://doi.org/10.1007/s00184-020-00794-y

[2020] "A simple approach to construct confidence bands for a regression function with
incomplete data." (with A. Al-Sharadqah )
AStA Advances in Statistical Analysis (Springer), 104, 81 99.

[2020] "On the performance of the weighted bootstrap kernel deconvolution
density estimators." (with A. Al-Sharadqah and W. Pouliot)
Statistical Papers (Springer), 61, 1773-1798.

[2019] "Kernel classification with missing data and the choice of smoothing
parameters." (with L. Demirdjian). Statistical Papers (Springer) 60, 1487 1513

[2019] "Semi-doubly optimal concentric circles fitting with presence of
heteroscedasticity." (with A. Al-Sharadqah )
Journal of Statistical Computation and Simulation (Taylor & Francis), 89, 1183-1202

[2018] "Classification with incomplete functional covariates." (with C. Shaw).
Statistics and Probability Letters(Elsevier), 139, 40-46.

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

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

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

[2017] "On density and regression estimation with incomplete data. "
(with K. Manley and W. Pouliot). Communications in Statistics - Theory
and Methods (Taylor & Francis), 46, 11688-11711.

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

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

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

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

[2015] "Aggregating Classifiers via Rademacher-Walsh Polynomials"
(with Z. Montazeri). Journal of Statistical Computation
and Simulation (Taylor & Francis), 85, 1187-1199.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[1999] "Combining Classifiers Via Discretization"
Journal of the American Statistical Association 94:600-609.

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

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

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