Skip to main content
Welcome to the ACEMS Reportal
All contributors should enter data on all of the Centre’s reportable key performance indicators (KPIs).
Menu
About Us
Contact Us
Annual Reports
2019 Annual Report
2018 Annual Report
2017 Annual Report
2016 Annual Report
2015 Annual Report
2014 Annual Report
Opportunities at ACEMS
Vacancies
Scholarships
Sponsorship opportunities
Equity and Diversity Programme
ACEMS Code of Conduct
ACEMS Carer's Provision Fund
Equity and Diversity Resources
People
Directorate
Chief Investigators
Research Fellows
Associate Investigators
Students
Professional Staff
Affiliate Members
Committees
Governance Advisory Board
Scientific Advisory Committee
Equity and Diversity Committee
Past Members of ACEMS
Research
COVID-19 Research & Resources
Challenging data
Multiscale models
Enabling Algorithms
Informed decisions
ACEMS Publications
Research Briefs
Collaborate
Start a collaboration
Industry Projects
Industry Affiliate Programme
International Mobility Programme
Mentoring @ ACEMS
Partners
Support Schemes for ACEMS Members
News and Events
Podcast: The Random Sample
Media Stories
News from ACEMS
Events
Newsletters
Contact the ACEMS media team
Outreach and Education
Mathscraft
Women in Maths Day 2020
Spotlight on Women in Maths
ACEMS Public Lecture Series
Games
Member Portal
Home
People
Research Fellows
Jarod Lee
Dr Jarod Lee
Research Fellow
University of Technology Sydney
Research Interests:
Applied statistics
Data Science
Machine Learning
Qualifications:
PhD in Statistics
Publications
Journal Articles
2017
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
2015
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
Research links
ORCID
Contact
yanlianglee@live.com
On social media
Home
People
Research Fellows
Jarod Lee
Privacy
Contact Us
Copyright © 2014-2020
