Refereed Journal Articles
Scealy, J. L. and Wood, A. T. A. (2020). Analogues on the sphere of the affine-equivariant spatial median. Journal of the American Statistical Association, Accepted 16 Feb 2020.
Scealy, J. L. and Wood, A. T. A. (2019). Scaled von Mises-Fisher distributions and regression models for paleomagnetic directional data. Journal of the American Statistical Association, 114, 1547-1560.
Scealy, J. L. and Welsh, A. H. (2016). A Directional mixed effects model for compositional expenditure data. Journal of the American Statistical Association, forthcoming. Accepted on 4/5/2016.
Scealy, J. L., Caritat, P. de, Grunsky, E. C., Tsagris, M. T. and Welsh, A. H. (2015). Robust principal component analysis for power transformed compositional data. Journal of the American Statistical Association, 110, 136-148.
Scealy, J. L. and Welsh, A. H. (2014). Fitting Kent models to compositional data with small concentration. Statistics and Computing, 24, 165-197.
Scealy, J. L. and Welsh, A. H. (2014). Colours and cocktails: compositional data analysis 2013 Lancaster Lecture. Australian & New Zealand Journal of Statistics, 56, 145-169.
Mueller, S., Scealy, J. L. and Welsh, A. H. (2013). Model selection in linear mixed models. Statistical Science, 28, 135-167.
Scealy, J. L. and Welsh, A. H. (2011). Regression for compositional data by using distributions defined on the hypersphere. Journal of the Royal Statistical Society Series B, 73, 351-375.
Other research outputs
Scealy, J. L. (2010). Small area estimation using a multinomial logit mixed model with category specific random effects. ABS Research paper, catalogue number 1351.0.55.029.
Wooton, J. L. (2007). Measuring and correcting for information loss in confidentialised census counts. ABS Methodology Advisory Committee research paper, catalogue number 1352.0.55.083. (Note: prior to 2008 Janice published under her maiden name Wooton).
Wooton, J. L. and Fraser, B. (2005). A review of confidentiality protections for statistical tables. ABS Methodology Advisory Committee research paper, catalogue number 1352.0.55.072.
