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- Jarod Lee
Dr Jarod Lee
Research Fellow
University of Technology Sydney
Research Interests:
Applied statistics
Data Science
Machine Learning
Qualifications:
PhD in Statistics
Publications
Invited talks, refereed proceedings and other conference outputs
Lee, J., & Ryan L. M.
(2018). Identifying Faltering in Longitudinal Child Growth Studies.
International Biometric Conference.
Lee, J., Brown J., Ryan L. M., & Tzavidis N.
(2017). Exploring the Robustness of Log-Gamma vs. Normal for Random Effect Distributions: The Case of COunt Data.
International Conference on Robust Statistics.
Lee, J.
(2017). Extracting More Value from Confidentialised Tabular Data.
International Statistical Institute Regional Statistics Conference.
Lee, J.
(2017). Extracting More Value from Confidentialised Tabular Data via Sufficiency-Based Modelling.
18th Annual J. B. Douglas Postgraduate Awards.
Lee, J.
(2016). Multilevel Modelling of Counts with Gamma-Poisson Model.
International Biometric Conference.
Lee, J.
(2016). Fitting Multinomial Mixed Models via Extended "Poisson Trick".
Australian Statistical Conference .
Journal Articles
Lee, J., Brown J., & Ryan L. M.
(2017). Sufficiency revisited: Rethinking statistical algorithms in the big data era.
The American Statistician. doi: 10.1080/00031305.2016.1255659
Lee, J., Brown J., & Ryan L. M.
(2017). Sufficiency Revisited: Rethinking Statistical Algorithms in the Big Data Era.
The American Statistician. 71(3), 202 - 208. doi: 10.1080/00031305.2016.1255659
Lee, J., Fan Y., & Sisson S.
(2015). Bayesian threshold selection for extremal models using measures of surprise.
Computational Statistics & Data Analysis. 85, 84-99. doi: 10.1016/j.csda.2014.12.004