Maria Rizzo

Professor Emeritus

Phone: 419-372-7474
Email: mrizzo@bgsu.edu
Address: Office: 413 Mitchell B. McLeod Hall
Department of Mathematics and Statistics
Bowling Green State University
Bowling Green, OH 43403-0206

Research Interests

• Statistics
• Applied Statistics
• Statistical Computing
• Multivariate Analysis
• Multivariate Inference
• Goodness-of-Fit
• Nonlinear Dependence
• Statistical Learning
• Cluster Analysis and Classification
• Computational Statistics
• Energy Statistics.

Books

J. Albert and M.L. Rizzo (2024), R by Example, 2nd Edition, Use R! Series, Springer, New York.

G. J. Szekely and M. L. Rizzo (2023). The Energy of Data and Distance Correlation, Chapman & Hall/CRC Monographs on Statistics and Applied Probability. ISBN 9781482242744.

M.L. Rizzo, Statistical Computing With R, Second Edition, Chapman & Hall/CRC, March 6, 2019.

J. Albert and M.L. Rizzo, R by Example, Springer Use R! Series (2012).

M.L. Rizzo, Statistical Computing with R, Chapman & Hall/CRC (2008).

Resources

GitHub.com/mariarizzo

References

T. F. Mori, G. J. Szekely and M. L. Rizzo (2021). On Energy Tests of Normality, Journal of Statistical Planning and Inference, Volume 213, 1-15.

G. J. Szekely and M. L. Rizzo (2020). Comments on: Tests for multivariate normality - a critical review with emphasis on weighted L2-statistics (by Bruno Ebner and Norbert Henze), TEST, Volume 29, Issue 4, 907-910.

G. França, M. L. Rizzo and J. T. Vogelstein (2020). Kernel K-Groups via Hartigan’s Method, IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2020.2998120.

Songzi Li and Maria L. Rizzo (2017). K-groups: A Generalization of K-means Clustering, ArXiv e-prints, 1711.04359,.

M. L. Rizzo and J. T. Haman (2016). Expected distances and goodness-of-fit for the asymmetric Laplace distribution, Statistics & Probability Letters, Volume 117, pp. 158-164, ISSN 0167-7152, http://dx.doi.org/10.1016/j.spl.2016.05.006.

G. J. Szekely and M. L. Rizzo (2017). The Energy of Data, The Annual Review of Statistics and Its Applications. Extended Review. 4:447-479. , doi: 10.1146/annurev-statistics-060116-054026

G. J. Szekely and M. L. Rizzo (2015). “Partial Distance Correlation”, in Nonparametric Statistics-2nd ISNPS Conference, Cádiz, 2014. Springer. 179-190.

G. J. Szekely and M. L. Rizzo. Partial Distance Correlation, Proceedings of the 2nd International Conference on Nonparametric Statistics, Springer (to appear).

M. L. Rizzo and G. J. Szekely (2016). Energy Distance, WIRES Computational Statistics, Wiley, Volume 8 Issue 1, 27-38. Available online Dec., 2015, doi: 10.1002/wics.1375.

G. J. Szekely and M. L. Rizzo (2014). Partial distance correlation with methods for dissimilarities, Annals of Statistics, 42/6, 2382-2412. article, preprint.

C. D. Yenigun and M. L. Rizzo (2014). Variable Selection in Regression using Maximal Correlation and Distance Correlation, Journal of Statistical Computation and Simulation. March, 2014. DOI: 10.1080/00949655.2014.895354

G. J. Szekely and M. L. Rizzo (2013). Energy statistics: statistics based on distances. Journal of Statistical Planning and Inference Volume 143, Issue 8, August 2013, pp. 1249-1272. DOI

G. J. Szekely and M. L. Rizzo (2013). The distance correlation t-test of independence in high dimension. Journal of Multivariate Analysis, Volume 117, pp. 193-213. DOI

G. J. Szekely and M. L. Rizzo (2012). On the uniqueness of distance covariance. Statistics & Probability Letters, Volume 82, Issue 12, 2278-2282. DOI

Maria L. Rizzo and Gabor J. Szekely (2010). DISCO Analysis: A Nonparametric Extension of Analysis of Variance, Annals of Applied Statistics Vol. 4, No. 2, 1034-1055.  DOI

Gabor J. Szekely and Maria L. Rizzo (2009). Brownian Distance Covariance,
Annals of Applied Statistics, Vol. 3, No. 4, 1236-1265.   doi:10.1214/09-AOAS312

Gabor J. Szekely and Maria L. Rizzo (2009). Rejoinder: Brownian Distance. Covariance, Annals of Applied Statistics, Vol. 3, No. 4, 1303-1308.    doi:10.1214/09-AOAS312REJ

Maria. L. Rizzo (2009). New Goodness-of-Fit Tests for Pareto Distributions, 39/2, 691-715.

G. J. Szekely, M. L. Rizzo, and N. K. Bakirov (2007). Measuring and Testing Independence by Correlation of Distances, Annals of Statistics, Vol. 35 No. 6, pp. 2769-2794. http://dx.doi.org/10.1214/009053607000000505.   

Bakirov, N. K., Rizzo, M. L., and Szekely, G. J. (2006). A Multivariate Nonparametric Test of Independence, Journal of Multivariate Analysis Volume 97, Issue 8 , September 2006, Pages 1742-1756 http://dx.doi.org/10.1016/j.jmva.2005.10.005.

Szekely, G. J. and Rizzo, M. L. (2005) Hierarchical Clustering via Joint Between-Within Distances: Extending Ward's Minimum Variance Method, Journal of Classification, 22(2) 151-183. http://dx.doi.org/10.1007/s00357-005-0012-9.

Szekely, G. J. and Rizzo, M. L. (2005) A New Test for Multivariate Normality,
Journal of Multivariate Analysis, 93/1, 58-80. http://dx.doi.org/10.1016/j.jmva.2003.12.002. 

Szekely, G. J. and Rizzo, M. L. (2004b) Mean Distance Test of Poisson Distribution,
Statistics and Probability Letters, 67/3, 241-247 http://dx.doi.org/10.1016/j.spl.2004.01.005.

Rizzo, M. L. (2003) Hierarchical Clustering Based on a Generalized Measure of Homogeneity,
2003 Proceedings of the Joint Statistical Meetings, American Statistical Association, Section for Physical and Engineering Sciences [CD-ROM], Alexandria, VA: American Statistical Association.

Szekely, G. J. and Rizzo, M. L. (2004) Testing for Equal Distributions in High Dimension, InterStat, Nov. (5). 

M. L. Rizzo (2005) Minimum Energy Clustering Proceedings of Interface/Classification Society of North America, Joint Annual Meeting, 2005.

Rizzo, M. L. (2002a). A Test of Homogeneity for Two Multivariate Populations,
2002 Proceedings of the American Statistical Association, Physical and Engineering Sciences Section [CD-ROM], Alexandria, VA: American Statistical Association.

Rizzo, M. L. (2002b). A New Rotation Invariant Goodness-of-Fit Test, Ph.D. dissertation, Bowling Green State University.    

Szekely, G. J. (2002) E-statistics: the Energy of Statistical Samples, Technical Report No. 02-16, Bowling Green State University, Department of Mathematics and Statistics, October 2002.

Szekely, G. J. (2000) E-statistics: Energy of Statistical Samples, Bowling Green State University, Department of Mathematics and Statistics Technical Report No. 03-05.

Szekely, G. J. (1989) Potential and Kinetic Energy in Statistics, Lecture Notes, Budapest Institute of Technology (Technical University).