Associate Professor Janice Scealy
Areas of expertise
- Statistics 0104
- Statistical Theory 010405
- Applied Statistics 010401
Research interests
- Compositional data analysis.
- Directional statistics, shape analysis and statistics for manifold valued data.
- Robust statistics.
- Model selection in linear mixed models.
- Analysis of sample survey data.
- Geostatistics and analysis of spatial data.
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
Senior Lecturer, Research School of Finance, Actuarial Studies and Statistics, The Australian National University. 01/2017 - present.
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.
Publications
- Scealy, J & Wood, A 2021, 'Analogues on the Sphere of the Affine-Equivariant Spatial Median', Journal of the American Statistical Association, vol. 116, no. 535, pp. 1457-1471.
- Scealy, J & Wood, A 2019, 'Scaled von Mises-Fisher Distributions and Regression Models for Paleomagnetic Directional Data', Journal of the American Statistical Association, vol. 114, no. 528, pp. 1547-1560.
- Scealy, J & Welsh, A 2017, 'A Directional mixed effects model for compositional expenditure data', Journal of the American Statistical Association, vol. 112, no. 517, pp. 24-36pp.
- Scealy, J, Caritat, P de, Grunsky, E et al 2015, 'Robust principal component analysis for power transformed compositional data', Journal of the American Statistical Association, vol. 110, no. 509, pp. 136-148.
- Scealy, J & Welsh, A 2014, 'Fitting Kent models to compositional data with small concentration', Statistics and Computing, vol. 24, no. 2, pp. 165-179.
- Scealy, J & Welsh, A 2014, 'Colours and cocktails: Compositional data analysis 2013 lancaster lecture', Australian and New Zealand Journal of Statistics, vol. 56, no. 2, pp. 145-169.
- Muller, S, Scealy, J & Welsh, A 2013, 'Model selection in linear mixed models', Statistical Science, vol. 28, no. 2, pp. 135-167.
- Scealy, J & Welsh, A 2011, 'Regression for compositional data by using distributions defined on the hypersphere', Journal of the Royal Statistical Society Series B, vol. 73, no. 3, pp. 351-375.
Projects and Grants
Grants information is drawn from ARIES. To add or update Projects or Grants information please contact your College Research Office.
- A new generation of palaeomagnetic statistics (Secondary Investigator)
- Statistics for manifold-valued data (Primary Investigator)
