Sally (Wood) Cripps
Sally (Wood) Cripps
Verified email at sydney.edu.au
Title
Cited by
Cited by
Year
Variable selection and function estimation in additive nonparametric regression using a data-based prior
TS Shively, R Kohn, S Wood
Journal of the American Statistical Association 94 (447), 777-794, 1999
1091999
Bayesian mixture of splines for spatially adaptive nonparametric regression
SA Wood, W Jiang, M Tanner
Biometrika 89 (3), 513-528, 2002
1012002
Reporting requirements, targets, and quotas for women in leadership
VE Sojo, RE Wood, SA Wood, MA Wheeler
The Leadership Quarterly 27 (3), 519-536, 2016
862016
Bayesian variable selection and model averaging in high-dimensional multinomial nonparametric regression
P Yau, R Kohn, S Wood
Journal of Computational and Graphical Statistics 12 (1), 23-54, 2003
752003
A Bayesian approach to robust binary nonparametric regression
S Wood, R Kohn
Journal of the American Statistical Association 93 (441), 203-213, 1998
711998
Model selection in spline nonparametric regression
S Wood, R Kohn, T Shively, W Jiang
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2002
532002
AdaptSPEC: Adaptive spectral estimation for nonstationary time series
O Rosen, S Wood, DS Stoffer
Journal of the American Statistical Association 107 (500), 1575-1589, 2012
482012
Local spectral analysis via a Bayesian mixture of smoothing splines
O Rosen, DS Stoffer, S Wood
Journal of the American Statistical Association 104 (485), 249-262, 2009
422009
Forecasting for COVID-19 has failed
JPA Ioannidis, S Cripps, MA Tanner
International journal of forecasting, 2020
372020
Bayesian mixtures of autoregressive models
S Wood, O Rosen, R Kohn
Journal of Computational and Graphical Statistics 20 (1), 174-195, 2011
272011
Learning as We Go: An Examination of the Statistical Accuracy of COVID19 Daily Death Count Predictions
R Marchant, NI Samia, O Rosen, MA Tanner, S Cripps
arXiv preprint arXiv:2004.04734, 2020
202020
Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0. 1.2: Setting up for success
R Scalzo, D Kohn, H Olierook, G Houseman, R Chandra, M Girolami, ...
Geoscientific Model Development 12 (7), 2941-2960, 2019
202019
Locally adaptive nonparametric binary regression
SA Wood, R Kohn, R Cottet, W Jiang, M Tanner
Journal of Computational and Graphical Statistics 17 (2), 352-372, 2008
132008
Langevin-gradient parallel tempering for Bayesian neural learning
R Chandra, K Jain, RV Deo, S Cripps
Neurocomputing 359, 315-326, 2019
122019
A case study in model failure? COVID-19 daily deaths and ICU bed utilisation predictions in New York State
V Chin, NI Samia, R Marchant, O Rosen, JPA Ioannidis, MA Tanner, ...
European Journal of Epidemiology 35 (8), 733-742, 2020
112020
Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression
R Marchant, S Haan, G Clancey, S Cripps
Security Informatics 7 (1), 1, 2018
112018
BayesLands: A Bayesian inference approach for parameter uncertainty quantification in Badlands
R Chandra, D Azam, RD Müller, T Salles, S Cripps
Computers & Geosciences 131, 89-101, 2019
92019
Multicore Parallel Tempering Bayeslands for Basin and Landscape Evolution
R Chandra, RD Müller, D Azam, R Deo, N Butterworth, T Salles, S Cripps
Geochemistry, Geophysics, Geosystems 20 (11), 5082-5104, 2019
82019
The differential impact of major life events on cognitive and affective wellbeing
N Kettlewell, RW Morris, N Ho, DA Cobb-Clark, S Cripps, N Glozier
SSM-population health 10, 100533, 2020
62020
Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics
J Pall, R Chandra, D Azam, T Salles, JM Webster, R Scalzo, S Cripps
Environmental Modelling & Software 125, 104610, 2020
62020
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Articles 1–20