----------------------------

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.

----------------------------

- "On the performance of the weighted bootstrap kernel deconvolution

density estimators." [2018] (with A. Al-Sharadqah and W. Pouliot)

Statistical Papers.
DOI: 10.1007/s00362-018-1006-0

- "Classification with incomplete functional covariates." [2018] (with C. Shaw).

Statistics and Probability Letters 139, 40-46.

- "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.