BEng(Chem) Sydney; MBA UWA; PhD UNSW
H70 - Abercrombie Building
The University of Sydney
NSW 2006 Australia
|Telephone||+61 2 9351 3835|
|Fax||+61 2 9351 6409|
Sally's research interests lie mainly in Bayesian methodology. In particular the spectral analysis of time series, flexible models for panel and longitudinal data, Gaussian and non-Gaussian nonparametric regression, and the development of efficient algorithms for large datasets. Sally holds an ARC Future Fellowship (2014-2018) and is an associate investigator in the ARC's centre of excellence Big Data, Big Models Big Insights.
Her applied work includes modelling cognitive development and voltage fluctuations obtained from an intracranial electroencephalogram (IEEG). She also works with researchers in the Centre of Ethical Leadership at Ormond College to study the development of leadership in China.
Sally's research papers have been published in Journal of the American Statistical Association, Journal of the Royal Statistical Society Series b, Biometrika, Journal of Computational and Graphical Statistics. She has been an invited and a regular speaker at international conferences such as the Institute of Mathematical Statistical (ISM) World Congress, MCMSki and the International Society for Bayesian Analysis (ISBA). She is on the editorial board for the journal Big Data Research.
You might hate gender quotas, but they work 12 Jul 2016
Crikey mentioned research by Professor Sally Cripps on the effectiveness of gender quotas in parliament.
Gwynne K, Mccowen D, Cripps S, Lincoln M, Irving M and Blinkhorn A 2017 Forthcoming 'A comparison of two models of dental care for Aboriginal communities in New South Wales', Australian Dental Journal
Cripps S 2013 'Applications of Bayesian Smoothing Splines' in Bayesian Theory and Applications, ed. Damien P, Dellaportas P, Polson N and Stephens D, Oxford University Press, Oxford, United Kingdom, pp. 309-36
Rosen O, Cripps S and Stoffer D 2012 'AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series', Journal of the American Statistical Association, vol.107:500, pp. 1575-89
Cripps S, Rosen O and Kohn R 2011 'Bayesian Mixtures of Autoregressive Models', Journal of Computational and Graphical Statistics, vol.20:1, pp. 174-95
Rosen O, Stoffer D and Cripps S 2009 'Local spectral analysis via a Bayesian mixture of smoothing splines', Journal of the American Statistical Association, vol.104:485, pp. 249-62
Cripps S, Kohn R, Cottet R, Jiang W and Tanner M 2008 'Locally Adaptive Binary Non-parametric Regression', Journal of Computational and Graphical Statistics, vol.17:2, pp. 352-72
- Bayesian modelling of longitudinal and panel data
- Spectral Analysis
- Mixture Models for time series