关注
Victoria Volodina
Victoria Volodina
Lecturer in Statistics and Data Science
在 exeter.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Process‐based climate model development harnessing machine learning: I. A calibration tool for parameterization improvement
F Couvreux, F Hourdin, D Williamson, R Roehrig, V Volodina, ...
Journal of Advances in Modeling Earth Systems 13 (3), e2020MS002217, 2021
732021
The importance of uncertainty quantification in model reproducibility
V Volodina, P Challenor
Philosophical Transactions of the Royal Society A 379 (2197), 2021
502021
Process‐based climate model development harnessing machine learning: II. Model calibration from single column to global
F Hourdin, D Williamson, C Rio, F Couvreux, R Roehrig, N Villefranque, ...
Journal of Advances in Modeling Earth Systems 13 (6), e2020MS002225, 2021
472021
Diagnostics-driven nonstationary emulators using kernel mixtures
V Volodina, D Williamson
SIAM/ASA Journal on Uncertainty Quantification 8 (1), 1-26, 2020
242020
Process‐based climate model development harnessing machine learning: III. The representation of cumulus geometry and their 3D radiative effects
N Villefranque, S Blanco, F Couvreux, R Fournier, J Gautrais, RJ Hogan, ...
Journal of Advances in Modeling Earth Systems 13 (4), e2020MS002423, 2021
142021
Comparing district heating options under uncertainty using stochastic ordering
V Volodina, E Wheatcroft, H Wynn
Sustainable Energy, Girds and Networks, 2022
12*2022
Process-based climate model development harnessing machine learning: II. Model calibration from single column to global
F Hourdin, D Williamson, C Rio, F Couvreux, R Roehrig, N Villefranque, ...
Authorea Preprints, 2022
62022
Villefranque, 522 N.,... others (2021). Process-based climate model development harnessing 523 machine learning: I. A calibration tool for parameterization improvement. J. 524 …
F Couvreux, F Hourdin, D Williamson, R Roehrig, V Volodina
Earth Sys 13, e2020MS002217, 0
6
Process-based climate model development harnessing machine learning: III. The Representation of Cumulus Geometry and their 3D Radiative Effects
N Villefranque, D Williamson, F Couvreux, F Hourdin, J Gautrais, ...
Authorea Preprints, 2022
42022
Model-based contract design for low energy waste heat contracts: the route to pricing
E Wheatcroft, HP Wynn, V Volodina, CJ Dent, K Lygnerud
Energies 14 (12), 3614, 2021
42021
Propagating uncertainty in a network of energy models
V Volodina, N Sonenberg, JQ Smith, PG Challenor, CJ Dent, HP Wynn
2022 17th International Conference on Probabilistic Methods Applied to Power …, 2022
32022
Using infinite server queues with partial information for occupancy prediction
N Sonenberg, V Volodina, PG Challenor, JQ Smith
Journal of the Operational Research Society 75 (2), 262-277, 2024
22024
SECRET: Statistical Emulation for Computational Reverse Engineering and Translation with applications in healthcare
LM Paun, MJ Colebank, A Taylor-LaPole, MS Olufsen, W Ryan, I Murray, ...
Computer Methods in Applied Mechanics and Engineering 430, 117193, 2024
12024
Uncertainty Quantification for complex computer models with nonstationary output. Bayesian optimal design for iterative refocussing
V Volodina
PQDT-UK & Ireland, 2019
12019
Challenges and opportunities in uncertainty quantification for healthcare and biological systems
LM Kimpton, LM Paun, MJ Colebank, V Volodina
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2024
2024
Propagating moments in probabilistic graphical models for decision support systems
V Volodina, N Sonenberg, P Challenor, JQ Smith
arXiv preprint arXiv:2312.03643, 2023
2023
A Bayesian Decision Support System in Energy Systems Planning
V Volodina, N Sonenberg, P Challenor, J Smith
https://arxiv.org/abs/2204.05035, 2022
2022
Majorization as a theory for uncertainty
V Volodina, N Sonenberg, E Wheatcroft, H Wynn
International Journal for Uncertainty Quantification 12 (5), 2022
2022
An integrating decision support system in energy systems planning
V Volodina, N Sonenberg, J Smith, C Dent, H Wynn
2021
系统目前无法执行此操作,请稍后再试。
文章 1–19