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Dominic Lee

Adjunct Senior Fellow

Mathematics and Statistics

22 November 2023

Qualifications and Memberships

  • Bachelor of Science (Honours) (National University of Singapore)

  • Master of Science (Johns Hopkins)

  • Doctor of Philosophy (Johns Hopkins)

  • New Zealand Statistical Association (NZSA) (Professional Organisation): Member


Research Interests

Research interests include computational, Bayesian and nonparametric statistics, with applications in medical research, signal processing and image processing.

  • Bayesian statistics
  • Computational statistics
  • Engineering statistics
  • Nonparametric statistics
  • Signal and image processing


Recent Publications

  • Lee D. (2008) Exact Markov Chain Monte Carlo algorithms and their applications in probabilistic data analysis and inference. In Wang HF (Ed.), Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery: 161-183. New York: IGI Publishing.
  • Hewapathirana IU., Lee D., Moltchanova E. and McLeod J. (2020) Change detection in noisy dynamic networks: a spectral embedding approach. Social Network Analysis and Mining 10(1)
  • Suwan S., Lee DS., Tang R., Sussman DL., Tang M. and Priebe CE. (2016) Empirical Bayes estimation for the stochastic blockmodel. Electronic Journal of Statistics 10(1): 761-782.
  • Zahari M., Lee DS. and Darlow BA. (2016) Algorithms that eliminate the effects of calibration artefact and trial-imposed offsets of Masimo oximeter in BOOST-NZ trial. Journal of Clinical Monitoring and Computing 30(5): 669-678.
  • Suwan S., Lee DS. and Priebe CE. (2015) Bayesian Vertex Nomination Using Content and Context. Wiley Interdisciplinary Reviews: Computational Statistics 7(6): 400-416.
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