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Sally Cripps

Photo of Sally Cripps

BEng(Chem) Sydney; MBA UWA; PhD UNSW

Rm 550
J12 - School of Information Technologies Building
The University of Sydney
NSW 2006 Australia

Telephone +61 2 9036 9803


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.

Newsroom articles

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Journal Article/s

Gwynne K, Mccowen D, Cripps S, Lincoln M, Irving M and Blinkhorn A 2017 'A comparison of two models of dental care for Aboriginal communities in New South Wales', Australian Dental Journal, vol.62:2, pp. 208-14 [Link]


Journal Article/s

Sojo VE, Wood RE, Cripps S and Wheeler MA 2016 'Reporting requirements, targets, and quotas for women in leadership', The Leadership Quarterly, vol.27:3, pp. 519-36 [Link]

Cripps E, Wood RE, Beckmann N, Lau J, Beckmann JF and Cripps S 2016 'Bayesian Analysis of Individual Level Personality Dynamics', Frontiers in Psychology, vol.7, pp. 1-13 [Link]


Book Section/s

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


Journal Article/s

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


Journal Article/s

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


Journal Article/s

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


Journal Article/s

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

Research Expertise

  • Bayesian modelling of longitudinal and panel data
  • Spectral Analysis
  • Mixture Models for time series