AsPr Janice Scealy

Associate Professor, Research School of Finance, Actuarial Studies & Statistics

Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
20112024

Research activity per year

Personal profile

Biography

Education

PhD in Statistics, The Australian National University awarded on 01/2011. Thesis title: Modelling Techniques for Compositional Data Using Distributions Defined on the Hypersphere. Supervisor: Prof Alan Welsh.

Bachelor of Mathematics degree with first class honours in Statistics, University of Wollongong awarded on 12/2003.

Employment History

Associate Professor, Research School of Finance, Actuarial Studies and Statistics, The Australian National University. 01/2022 - present 

 

ARC DECRA Fellow, Research School of Finance, Actuarial Studies and Statistics, The Australian National University. 03/2018 - 12/2022. 

Senior Lecturer, Research School of Finance, Actuarial Studies and Statistics, The Australian National University. 01/2017 - 02/2018.

Lecturer, Research School of Finance, Actuarial Studies and Statistics, The Australian National University. 01/2015 - 12/2016.

Visitor, Centre for Mathematics and its Applications, The Australian National University. 01/2014 - 01/2015.

Postdoctoral Fellow, Research School of Finance, Actuarial Studies and Applied Statistics, The Australian National University. 01/2013 - 01/2014.

Postdoctoral Fellow, Centre for Mathematics and its Applications, The Australian National University. 01/2011 - 01/2013.

Statistician, Analytical Services Branch and Statistical Services Branch, Australian Bureau of Statistics. 01/2004 - 01/2011.

PhD in Statistics, The Australian National University. Thesis title: \emph{Modelling Techniques for Compositional Data Using Distributions Defined on the Hypersphere}. Supervisor: Prof Alan Welsh.

Qualifications

PhD in Statistics

Research Interests

  • Compositional data analysis.
  • Directional statistics, shape analysis and statistics for manifold-valued data.
  • Robust statistics.
  • Statistics in the Earth Sciences.
  • Applications in Palaeomagnetism, Seismology and Geochemistry.
  • Geostatistics and the analysis of spatial data.
  • Model selection in linear mixed models.

Research student supervision

  • Registered to supervise

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