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Department of Statistics

Columbian College of Arts & Sciences

Reza Modarres

Statistics MS Program Director, Reza Modarres, in a gray suit jacket

Reza Modarres

Professor of Statistics; Statistics MS Advisor

Contact:

Email: Reza Modarres
Office Phone: (202) 994-9991
801 22nd St NW Washington, DC 20052

2007 - Present: Professor of Statistics, The George Washington University
2007 - 2013: Chair and Professor of Statistics, The George Washington University
Spring 2005 - Fall 2005: Sabbatical, Center for Ecological and Environmental Statistics, Department of Statistics, Eberly College of Science, Pennsylvania State University.
1997 - 2007: Associate Professor of Statistics, The George Washington University
Fall 1997- Spring 1998: Sabbatical, Environmental Protection Agency, Office of Water, Washington, D.C.
1991 - 1997: Assistant Professor of Statistics, The George Washington University
1990 - 1991: Assistant Professor of Statistics and Mathematics, The American University

Modarres, R, Gastwirth, J. L., Ewens, W. (2005). A Cautionary Note on the Use of Nonparametric Tests in the Analysis of Environmental Data. Environmetrics,  Vol. 16, No. 4, 319-326.

Freeman, J. and Modarres, R. (2005). Efficiency of Test for Independence after Box-Cox Transformation, Journal of Multivariate Analysis,  Vol. 95, 107-118.

Modarres, R. and Gastwirth, J. L. (2006). A Cautionary Note on Estimating the Standard Error of the Gini Index of Inequality. Oxford Journal of Economics and Statistics,  Vol. 68, Issue 3, 385-390.

Freeman, J. and Modarres, R. (2006). Inverse Box-Cox: The Power-Normal Distribution. Statistics & Probability Letters, Volume 76, Issue 8,  764-772. 

Modarres, R., Hui, T., and Zheng, G. (2006). Resampling Methods for Ranked Set Samples. Computational Statistics and Data Analysis, Vol. 51, No. 2, 1039-1050. 

Modarres, R. and Patil, G. P. (2007). Hotspot Detection with Bivariate Data. Journal of Statistical Planning and Inference, Vol. 137, Issue 11,  3643-3654. Special issue to celebrate the centennial of Professor S. N. Roy’s birth.

Modarres, R. (2008). Tests of Bivariate Exchangeability. International Statistical Review, Vol. 76, issue 2, pages 203-213.

Liu, Z. and Modarres, R. (2010). A Triangle Test for Equality of Distribution Functions in High Dimensions (2010). Journal of Nonparametric Statistic, Vol. 22, no. 6, 1-11. 

Liu, Z. and Modarres, R. (2011). Lens Data Depth and Median. Journal of Nonparametric Statistic, Vol. 23, Issue 4, 1063-1074. 

Modarres, R. (2011). High Dimensional Generation of Bernoulli Random Vectors. Statistics and Probability Letters, Vol. 81, pp. 1136-1142.

Behboodian, J. and Modarres, R. (2013). On a Characterization Theorem of Symmetry about a Point. Statistics and Probability Letters, 83, 2057–2059. 

Amiri S, Jafari Jozani M, Modarres R. (2014). Resampling Unbalanced Ranked Set Samples with Applications in Testing Hypothesis about the Population Mean. Journal of Agricultural, Biological, and Environmental Statistics. 19, 1-17. 

Modarres, R. (2014). On the interpoint distances of Bernoulli Vectors. Statistics and Probability Letters, 84, 215-222.

Modarres, R. (2016). Poisson Interpoint Distances. Statistics and Probability Letters, Vol. 12, 113-123. 

Yang, M. and Modarres, R. (2018). Beta-skeletons Depth Functions and Medians. Communications in Statistics: Theory and Methods, Vol. 47, 20, 5127-5143.

Guo, L., Modarres, R. (2019). Interpoint Distance Classification of High Dimensional Discrete Observations. International Statistical Review, 87(2), 191–206.

Song, Y. and Modarres, R. (2019). Interpoint Distance Test of Homogeneity for Multivariate Mixture Models. International Statistical Review, 87(3), 613–638.

Song, Y., and Modarres, R. (2019). Unified Multivariate Hypergeometric Interpoint Distances. Statistics. Vol. 53, No. 4, 921-942.

Guo, L. and Modarres, R. (2020). Nonparametric Change Point Detection in Periodic Data. Canadian journal of Statistics. Vol. 48, No. 3. 518-534. 

Guo, L.; Modarres, R. (2020). Testing the equality of matrix distributions. Statistical Methods & Applications, 29, 2, 289-307.

Yang, M.; Modarres, R. Guo, L. (2020). Depth functions and multidimensional medians on minimal spanning trees. Journal of Applied Statistics, 47, 2, 323-336.

Guo, L.; Modarres, R. 2020. Nonparametric tests of independence based on interpoint distances. Journal of Nonparametric Statistics, 32, 1, 225-245.

Modarres, R. and Song, Y. (2020). Interpoint Distances: Applications, Properties and Visualization. Journal of Applied Stochastic Models in Business and Industry, Vol 36, No. 6, 1147-1168

Modarres, R. (2020). Graphical Comparison of High Dimensional Distributions. International Statistical Review. Vol. 48, No. 3, 698-714.

Guo, L. and Modarres, R. (2021). Two multivariate online change detection models. Journal of Applied Statistics, 49:2, 427-448.

Modarres, R. (2021).  On the Blocks of Interpoint Distances. Journal of the Iranian Statistical Society, 20(1): 197-218.

Modarres, R. (2022). Outlier Tests of High Dimensional Observations. Journal of nonparametric Statistics, Vol. 34, 206-227.

R. Modarres (2022). A High Dimensional Dissimilarity Measure. Computational Statistics and Data Analysis, Vol. 175. https://doi.org/10.1016/j.csda.2022.107560

Modarres, R.  (2022). High Dimensional, Low Sample Size Classification. Statistical Papers, Vol. 64, 1833-1829,     https://doi.org/10.1007/s00362-022-01363-3.

Modarres, R. (2023). Analysis of distance matrices, Statistics & Probability Letters, Volume 193 (2), DOI:10.1016/j.spl.2022.109720.

A. Amiri and R. Modarres (2024). A Subspace Aggregating Algorithm for Accurate Classification. Computational Statistics. https://link.springer.com/article/10.1007/s00180-024-01476-3

R. Modarres, (2024). A High dimensional Hotelling T2 Test.  Statistical Papers.

Drikvandi, R., Modarres, R. A high Dimensional Change Point Method (2024). Journal of Computational and Graphical Statistics, 1-30.

Wang, Y. and Modarres, R. Clustering of High Dimensional Observations (2024). Journal of nonparametric Statistics.
 

Statistical Computing, Multivariate Analysis, Environmental Statistics, Nonparametric Statistics

Ph.D.: Statistics, The American University, 1990.
M.S.: Computer Science, The American University, 1982.
B.S.: Computer Science and Mathematics, The American University, 1981.