Publication Search Results
Exact matches for:
- Author = Cripps S [web profile page]
1.
Lau JW, Cripps E, Cripps S
John W Lau, Edward Cripps & Sally Cripps:
Remaining useful life prediction: a multiple product partition approach,
Communications in statistics - Simulation and Computation,
51
(2022),
no. 9,
5288–5307.
2.
Ioannidis JPA, Cripps S, Tanner MA
John P A Ioannidis, Sally Cripps, Martin A Tanner:
Forecasting for COVID-19 has failed,
International Journal of Forecasting,
38
(2022),
no. 2,
423–438.
3.
Chin V, Ioannidis JPA, Tanner MA, Cripps S
Vincent Chin, John P A Ioannidis, Martin A Tanner, Sally Cripps:
Effect estimates of COVID-19 non-pharmaceutical interventions are non-robust and highly model-dependent,
Journal of Clinical Epidemiology,
136
(2021),
no. August 2021,
96–132.
4.
Chandra R, Cripps S, Butterworth N, Muller RD
Rohitash Chandra, Sally Cripps, Nathaniel Butterworth, R Dietmar Muller:
Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning,
Environmental Modelling and Software,
139
(2021),
Article 105002 (20 pages).
5.
Chandra R, Jain K, Deo RV, Cripps S
Rohitash Chandra, Konark Jain, Ratneel V Deo, Sally Cripps:
Langevin-gradient parallel tempering for Bayesian neural learning,
Neurocomputing,
359
(2019),
no. September 2019,
315–326.
6.
Scalzo R, Kohn D, Olierook H, Houseman G, Chandra R, Girolami M, Cripps S
Richard Scalzo, David Kohn, Hugo Olierook, Gregory Houseman, Rohitash Chandra, Mark Girolami, and Sally Cripps:
Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success,
Geoscientific Model Develpment,
12
(2019),
no. 7,
2941–2960.
7.
Bertolacci M, Cripps E, Rosen O, Lau JW, Cripps S
Michael Bertolacci, Edward Cripps, Ori Rosen, John W Lau and Sally Cripps:
Climate inference on daily rainfall across the Australian continent, 1876–2015,
Annals of Applied Statistics,
13
(2019),
no. 2,
683–712.
8.
Chandra R, Azam D, Müller RD, Salles T, Cripps S
Rohitash Chandra, Danial Azam, R Dietmar Müller, Tristan Salles, Sally Cripps:
Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands,
Computers and Geosciences,
131
(2019),
no. October 2019,
89–101.
9.
Chandra R, Cripps S
Rohitash Chandra and Sally Cripps:
Coevolutionary multi-task learning for feature-based modular pattern classification,
Neurocomputing,
319
(2018),
164–175.
10.
Chandra R, Azizi L, Cripps S
Rohitash Chandra, Lamiae Azizi and Sally Cripps:
Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction,
Lecture Notes in Computer Science,
10638
(2017),
564–573.
| Number of matches: 10 |