GW Monogram

Department of Statistics

Columbian College of Arts & Sciences

Reza Modarres

Reza Modarres

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

Books

  • Modarres, R. (2027). High Dimensional Data Analysis: An Interpoint Distance Approach (2027). Chapman and Hall, Boca Raton, FL.

Selected Papers

  • Khaksar, S., French, J. C., Modarres, R. and  Kissel, M. (2026). Do we have it within us? Experimental insights into the origins of stone tool technology and the zone of latent solutions. Journal of Archaeological Science: Reports, 71.
  • Modarres, R. (2025). Statistical Analysis of Distance Matrices. Statistics and Computing, 36(1), DOI: 10.1007/s11222-025-10795.
  • Modarres, R. (2025). Testing the Equality of High Dimensional Distributions. Computational Statistics and Data Analysis. https://dl.acm.org/doi/10.1016/j.csda.2025.108245
  • Wang, Y. and Modarres, R. (2024). Clustering of High Dimensional Observations. Journal of nonparametric Statistics.
  • Drikvandi, R., Modarres, R. (2024). A high Dimensional Change Point Method. Journal of Computational and Graphical Statistics, 1-30.
  • Modarres, R. (2024). A High dimensional Hotelling T2 Test.  Statistical Papers.
  • Amiri, A. and Modarres, R. (2024). A Subspace Aggregating Algorithm for Accurate Classification. Computational Statistics. https://link.springer.com/article/10.1007/s00180-024-01476-3
  • Modarres, R. (2023). Analysis of distance matrices, Statistics & Probability Letters, Volume 193 (2), DOI:10.1016/j.spl.2022.109720
  • 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. (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). Outlier Tests of High Dimensional Observations. Journal of nonparametric Statistics, Vol. 34, 206-227.
  • Modarres, R. (2021).  On the Blocks of Interpoint Distances. Journal of the Iranian Statistical Society, 20(1): 197-218.
  • Guo, L. and Modarres, R. (2021). Two multivariate online change detection models. Journal of Applied Statistics, 49:2, 427-448.
  • Modarres, R. (2020). Graphical Comparison of High Dimensional Distributions. International Statistical Review. Vol. 48, No. 3, 698-714.
  • 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.
  • Guo, L. and Modarres, R. (2020). Nonparametric tests of independence based on interpoint distances. Journal of Nonparametric Statistics, 32, 1, 225-245.
  • Yang, M., Modarres, and R. Guo, L. (2020). Depth functions and multidimensional medians on minimal spanning trees. Journal of Applied Statistics, 47, 2, 323-336.
  • Guo, L. and Modarres, R. (2020). Testing the equality of matrix distributions. Statistical Methods & Applications, 29, 2, 289-307.
  • Guo, L. and Modarres, R. (2020). Nonparametric Change Point Detection in Periodic Data. Canadian journal of Statistics. Vol. 48, No. 3. 518-534.
  • 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. and Modarres, R. (2020). Testing the equality of matrix distributions. Statistical Methods & Applications, 29, 2, 289-307.
  • Guo, L. and Modarres, R. (2020). Nonparametric Change Point Detection in Periodic Data. Canadian journal of Statistics. Vol. 48, No. 3. 518-534.
  • Song, Y. and Modarres, R. (2019). Unified Multivariate Hypergeometric Interpoint Distances. Statistics. Vol. 53, No. 4, 921-942.
  • Song, Y. and Modarres, R. (2019). Interpoint Distance Test of Homogeneity for Multivariate Mixture Models. International Statistical Review, 87(3), 613–638.
  • Guo, L. and Modarres, R. (2019). Interpoint Distance Classification of High Dimensional Discrete Observations. International Statistical Review, 87(2), 191–206.
  • Yang, M. and Modarres, R. (2018). Beta-skeletons Depth Functions and Medians. Communications in Statistics: Theory and Methods, Vol. 47, 20, 5127-5143.
  • Modarres, R. (2016). Poisson Interpoint Distances. Statistics and Probability Letters, Vol. 12, 113-123.
  • Modarres, R. (2014). On the interpoint distances of Bernoulli Vectors. Statistics and Probability Letters, 84, 215-222.
  • Amiri, S., Jafari Jozani, M., and 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.
  • Behboodian, J. and Modarres, R. (2013). On a Characterization Theorem of Symmetry about a Point. Statistics and Probability Letters, 83, 2057–2059.
  • Modarres, R. (2011). High Dimensional Generation of Bernoulli Random Vectors. Statistics and Probability Letters, Vol. 81, pp. 1136-1142.
  • Liu, Z. and Modarres, R. (2011). Lens Data Depth and Median. Journal of Nonparametric Statistic, Vol. 23, Issue 4, 1063-1074.
  • 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.
  • Modarres, R. (2008). Tests of Bivariate Exchangeability. International Statistical Review, Vol. 76, issue 2, pages 203-213.
  • 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., Hui, T., and Zheng, G. (2006). Resampling Methods for Ranked Set Samples. Computational Statistics and Data Analysis, Vol. 51, No. 2, 1039-1050.
  • Freeman, J. and Modarres, R. (2006). Inverse Box-Cox: The Power-Normal Distribution. Statistics & Probability Letters, Volume 76, Issue 8,  764-772.
  • 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. (2005). Efficiency of Test for Independence after Box-Cox Transformation, Journal of Multivariate Analysis,  Vol. 95, 107-118.
  • 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.

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.