Joseph Glaz

Professor

Office: AUST 329
Phone: (860) 486-4193
E-Mail: joseph.glaz@uconn.edu
Personal Website

Research Interests

Applied Probability, Geometrical Probability, Probability Approximations, Probability Inequalities, Parametric Bootstrap, Sequential Analysis, Simultaneous Inference.

Selected Publications

  • Zhao, B. and Glaz, J. (2017). Scan statistics for detecting a local change in variance for two dimensional normal data. Communications in Statistics-Theory and Methods Ser. A., Vol. 46, No. 11, 557-5530.
  • Chen, J. and Glaz, J. (2018). Scan statistics for discrete iid random variables: conditional case. Handbook of Scan Statistics. Glaz, J. and Koutras, M. V., Eds., Springer. Springer Link, https://doi.org/10.1007/978-1-4614-8414-1_22-1
  • Zhang, P. and Glaz, J. (2018). Scan Statistics on graphs and networks. Handbook of Scan Statistics. Glaz, J. and Koutras, M. V., Eds, Springer. Springer Link, https://doi.org/10.1007/978-1-4614-8414-1_43-1
  • Wu, Q. and Glaz, J. (2019). Robust scan statistics for detecting a local change in population mean for normal data. Methodology and Computing in Applied Probability, Vol. 21, 295-314.