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

  • (With Q. Wu) 2018. Robust scan statistics for detecting a local change in population mean for normal data. Methodology and Computing in Applied Probability. https://doi.org/10.1007/s11009-018-9668-6
  • (With P. Zhang) 2017. 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
  • (With J. Chen) 2017. 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
  • (With B. Zhao) 2017. Scan statistics for detecting a local change in variance for two dimensional normal data. Communications in Statistics-Theory and Methods Ser. A. 46(11), 5517-5530.