Issue Date | Title | Author(s) |
2024-12-19 | A prognostic model for predicting functional impairment in youth mental health services. | Iorfino, F; Oliveira, R; Cripps, S; Marchant, R; Varidel, M; Capon, W; Crouse, JJ; Prodan, A; Scott, EM; Scott, J; Hickie, IB |
2022 | AdaptSPEC-X: Covariate-Dependent Spectral Modeling of Multiple Nonstationary Time Series | Bertolacci, M; Rosen, O; Cripps, E; Cripps, S |
2023 | Bayesian network modelling to identify on-ramps to childhood obesity | Zhu, W; Marchant, R; Morris, RW; Baur, L; Simpson, S; Cripps, S |
2022 | Bayesian optimization with informative parametric models via sequential Monte Carlo | Oliveira, R; Scalzo, R; Kohn, R; Cripps, S; Hardman, K; Close, J; Taghavi, N; Lemckert, C |
2022 | Blockworlds 0.1. 0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models | Scalzo, R; Lindsay, M; Jessell, M; Pirot, G; Giraud, J; Cripps, E; Cripps, S |
2020-04-01 | The differential impact of major life events on cognitive and affective wellbeing | Kettlewell, N; Morris, RW; Ho, N; Cobb-Clark, DA; Cripps, S; Glozier, N |
2020 | Forecasting for COVID-19 has failed | Ioannidis, JPA; Cripps, S; Tanner, MA |
2023-11-16 | Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation. | Wang, S; Chen, X; McAuley, J; Cripps, S; Yao, L |
2022 | Remaining useful life prediction: A multiple product partition approach | Lau, JW; Cripps, E; Cripps, S |
2023-09-08 | The temporal dependencies between social, emotional and physical health factors in young people receiving mental healthcare: a dynamic Bayesian network analysis. | Iorfino, F; Varidel, M; Marchant, R; Cripps, S; Crouse, J; Prodan, A; Oliveria, R; Carpenter, JS; Hermens, DF; Guastella, A; Scott, E; Shah, J; Merikangas, K; Scott, J; Hickie, IB |
2023-02-01 | Uncertainty: Nothing is more certain | Cripps, S; Durrant-Whyte, H |