Sally (Wood) Cripps

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Martin A. TannerNorthwestern UniversityEmail verificata su northwestern.edu
Roman MarchantAssociate Professor, Human Technology Institute, University of Technology SydneyEmail verificata su uts.edu.au
John P.A. IoannidisProfessor of Medicine/Health Research & Policy/Biomedical Data Science/Statistics, Stanford UnivEmail verificata su stanford.edu
robert kohnProfessor of Economics University of New South WalesEmail verificata su unsw.edu.au
Rohitash ChandraUNSWEmail verificata su unsw.edu.au
Edward CrippsAssociate Professor Statistics, University of Western AustraliaEmail verificata su uwa.edu.au
Nick GlozierProfessor of Psychological Medicine, University of SydneyEmail verificata su sydney.edu.au
Richard ScalzoCSIROEmail verificata su data61.csiro.au
Vincent ChinUniversity of SydneyEmail verificata su sydney.edu.au
Tristan SallesSchool of Geosciences, The University of SydneyEmail verificata su sydney.edu.au
Tom ShivelyProfessor of Statistics, McCombs School of Business, University of Texas at AustinEmail verificata su mccombs.utexas.edu
Rafael OliveiraData61 (CSIRO), AustraliaEmail verificata su data61.csiro.au
Richard W MorrisTranslational datascientist, University of SydneyEmail verificata su sydney.edu.au
Danial AzamUniversity of SydneyEmail verificata su sydney.edu.au
Nathan KettlewellSenior lecturer, University of Technology SydneyEmail verificata su uts.edu.au
Dietmar MüllerProfessor of Geophysics, EarthByte Group, Univ. of SydneyEmail verificata su sydney.edu.au
Victor SojoAssociate Professor in Leadership, The University of MelbourneEmail verificata su unimelb.edu.au
Michael BertolacciSenior Lecturer, The University of Western AustraliaEmail verificata su uwa.edu.au
Deborah Cobb-Clark AOSchool of Economics University fo SydneyEmail verificata su sydney.edu.au
Konark JainPhD Student, University College LondonEmail verificata su ucl.ac.uk

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Sally (Wood) Cripps

University of Technology Sydney

Email verificata su uts.edu.au


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Forecasting for COVID-19 has failed JPA Ioannidis, S Cripps, MA Tanner International journal of forecasting 38 (2), 423-438, 2022	480	2022
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	203	2016
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	123	2020
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	119	1999
Bayesian mixture of splines for spatially adaptive nonparametric regression SA Wood, W Jiang, M Tanner Biometrika 89 (3), 513-528, 2002	114	2002
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	85	2003
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, 733-742, 2020	82	2020
A Bayesian approach to robust binary nonparametric regression S Wood, R Kohn Journal of the American Statistical Association 93 (441), 203-213, 1998	78	1998
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	76	2012
Effect estimates of COVID-19 non-pharmaceutical interventions are non-robust and highly model-dependent V Chin, JPA Ioannidis, MA Tanner, S Cripps Journal of Clinical Epidemiology 136, 96-132, 2021	74*	2021
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	63	2009
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	56	2002
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	48	2020
Langevin-gradient parallel tempering for Bayesian neural learning R Chandra, K Jain, RV Deo, S Cripps Neurocomputing 359, 315-326, 2019	48	2019
Bayesian mixtures of autoregressive models S Wood, O Rosen, R Kohn Journal of Computational and Graphical Statistics 20 (1), 174-195, 2011	38	2011
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	36	2019
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	28	2020
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	25	2019
Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression R Marchant, S Haan, G Clancey, S Cripps Security Informatics 7, 1-19, 2018	25	2018
Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning R Chandra, S Cripps, N Butterworth, RD Muller Environmental Modelling & Software 139, 105002, 2021	22	2021

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