Dr Agnieszka Borowska
- Honorary Research Associate (School of Mathematics & Statistics)
Research interests
Research groups
Publications
2025
Devlin, Jon, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413 and Mackenzie, John
(2025)
Approximate Bayesian inference in a model for self-generated gradient collective cell movement.
Computational Statistics,
(Accepted for Publication)
2023
Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227 and King, Ruth
(2023)
Semi-complete data augmentation for efficient state space model fitting.
Journal of Computational and Graphical Statistics, 32(1),
pp. 19-35.
(doi: 10.1080/10618600.2022.2077350)
2022
Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435, Lazarus, Alan and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2022)
Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle.
International Journal for Numerical Methods in Biomedical Engineering, 38(5),
e3593.
(doi: 10.1002/cnm.3593)
(PMID:35302293)
2021
Romaszko, Lukasz, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Lazarus, Alan, Dalton, David, Berry, Colin
ORCID: https://orcid.org/0000-0002-4547-8636, Luo, Xiaoyu
ORCID: https://orcid.org/0000-0002-8753-4210, Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413 and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2021)
Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics.
Artificial Intelligence In Medicine, 119,
102140.
(doi: 10.1016/j.artmed.2021.102140)
Paun, L. Mihaela, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Colebank, Mitchel J., Olufsen, Mette S. and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2021)
Inference in Cardiovascular Modelling Subject to Medical Interventions.
In: 3rd International Conference on Statistics: Theory and Applications (ICSTA'21), 29-31 Jul 2021,
p. 109.
ISBN 9781927877913
(doi: 10.11159/icsta21.109)
Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Giurghita, Diana and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2021)
Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis.
Journal of Computational Physics, 429,
109999.
(doi: 10.1016/j.jcp.2020.109999)
2020
Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Hoogerheide, Lennart, Koopman, Siem Jan and van Dijk, Herman K.
(2020)
Partially censored posterior for robust and efficient risk evaluation.
Journal of Econometrics, 217(2),
pp. 335-355.
(doi: 10.1016/j.jeconom.2019.12.007)
2019
Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413, Lazarus, Alan, Noè, Umberto
ORCID: https://orcid.org/0000-0002-4962-5189, Davies, Vincent
ORCID: https://orcid.org/0000-0003-1896-8936, Borowska, Agnieszka
ORCID: https://orcid.org/0000-0001-9123-6227, Macdonald, Benn
ORCID: https://orcid.org/0000-0003-3728-5305, Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435, Berry, Colin
ORCID: https://orcid.org/0000-0002-4547-8636 and Luo, Xiaoyu
ORCID: https://orcid.org/0000-0002-8753-4210
(2019)
Statistical Emulation of Cardiac Mechanics: an Important Step Towards a Clinical Decision Support System.
In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019,
p. 29.
ISBN 9781927877647
(doi: 10.11159/icsta19.29)
Romaszko, Lukasz, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Lazarus, Alan, Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435, Luo, Xiaoyu
ORCID: https://orcid.org/0000-0002-8753-4210 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2019)
Direct Learning Left Ventricular Meshes from CMR Images.
In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019,
p. 25.
ISBN 9781927877647
(doi: 10.11159/icsta19.25)
Romaszko, Lukasz, Lazarus, Alan, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435, Borowska, Agnieszka
ORCID: https://orcid.org/0000-0001-9123-6227, Luo, Xiaoyu
ORCID: https://orcid.org/0000-0002-8753-4210 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2019)
Massive Dimensionality Reduction for the Left Ventricular Mesh.
In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019,
p. 24.
ISBN 9781927877647
(doi: 10.11159/icsta19.24)
Baştürk, N., Borowska, A. ORCID: https://orcid.org/0000-0001-9123-6227, Grassi, S., Hoogerheide, L. and van Dijk, H.K.
(2019)
Forecast density combinations of dynamic models and data driven portfolio strategies.
Journal of Econometrics, 210,
pp. 170-186.
(doi: 10.1016/j.jeconom.2018.11.011)
Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Hoogerheide, Lennart F. and Koopman, Siem Jan
(2019)
Bayesian Risk Forecasting for Long Horizons.
Discussion Paper.
Tinbergen Institute.
(doi: 10.2139/ssrn.3339819).
2018
Barra, István, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227 and Koopman, Siem Jan
(2018)
Bayesian dynamic modeling of high-frequency integer price changes.
Journal of Financial Econometrics, 16(3),
pp. 384-424.
(doi: 10.1093/jjfinec/nby010)
Articles
Devlin, Jon, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413 and Mackenzie, John
(2025)
Approximate Bayesian inference in a model for self-generated gradient collective cell movement.
Computational Statistics,
(Accepted for Publication)
Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227 and King, Ruth
(2023)
Semi-complete data augmentation for efficient state space model fitting.
Journal of Computational and Graphical Statistics, 32(1),
pp. 19-35.
(doi: 10.1080/10618600.2022.2077350)
Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435, Lazarus, Alan and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2022)
Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle.
International Journal for Numerical Methods in Biomedical Engineering, 38(5),
e3593.
(doi: 10.1002/cnm.3593)
(PMID:35302293)
Romaszko, Lukasz, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Lazarus, Alan, Dalton, David, Berry, Colin
ORCID: https://orcid.org/0000-0002-4547-8636, Luo, Xiaoyu
ORCID: https://orcid.org/0000-0002-8753-4210, Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413 and Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435
(2021)
Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics.
Artificial Intelligence In Medicine, 119,
102140.
(doi: 10.1016/j.artmed.2021.102140)
Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Giurghita, Diana and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2021)
Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis.
Journal of Computational Physics, 429,
109999.
(doi: 10.1016/j.jcp.2020.109999)
Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Hoogerheide, Lennart, Koopman, Siem Jan and van Dijk, Herman K.
(2020)
Partially censored posterior for robust and efficient risk evaluation.
Journal of Econometrics, 217(2),
pp. 335-355.
(doi: 10.1016/j.jeconom.2019.12.007)
Baştürk, N., Borowska, A. ORCID: https://orcid.org/0000-0001-9123-6227, Grassi, S., Hoogerheide, L. and van Dijk, H.K.
(2019)
Forecast density combinations of dynamic models and data driven portfolio strategies.
Journal of Econometrics, 210,
pp. 170-186.
(doi: 10.1016/j.jeconom.2018.11.011)
Barra, István, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227 and Koopman, Siem Jan
(2018)
Bayesian dynamic modeling of high-frequency integer price changes.
Journal of Financial Econometrics, 16(3),
pp. 384-424.
(doi: 10.1093/jjfinec/nby010)
Research Reports or Papers
Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Hoogerheide, Lennart F. and Koopman, Siem Jan
(2019)
Bayesian Risk Forecasting for Long Horizons.
Discussion Paper.
Tinbergen Institute.
(doi: 10.2139/ssrn.3339819).
Conference Proceedings
Paun, L. Mihaela, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Colebank, Mitchel J., Olufsen, Mette S. and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2021)
Inference in Cardiovascular Modelling Subject to Medical Interventions.
In: 3rd International Conference on Statistics: Theory and Applications (ICSTA'21), 29-31 Jul 2021,
p. 109.
ISBN 9781927877913
(doi: 10.11159/icsta21.109)
Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413, Lazarus, Alan, Noè, Umberto
ORCID: https://orcid.org/0000-0002-4962-5189, Davies, Vincent
ORCID: https://orcid.org/0000-0003-1896-8936, Borowska, Agnieszka
ORCID: https://orcid.org/0000-0001-9123-6227, Macdonald, Benn
ORCID: https://orcid.org/0000-0003-3728-5305, Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435, Berry, Colin
ORCID: https://orcid.org/0000-0002-4547-8636 and Luo, Xiaoyu
ORCID: https://orcid.org/0000-0002-8753-4210
(2019)
Statistical Emulation of Cardiac Mechanics: an Important Step Towards a Clinical Decision Support System.
In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019,
p. 29.
ISBN 9781927877647
(doi: 10.11159/icsta19.29)
Romaszko, Lukasz, Borowska, Agnieszka ORCID: https://orcid.org/0000-0001-9123-6227, Lazarus, Alan, Gao, Hao
ORCID: https://orcid.org/0000-0001-6852-9435, Luo, Xiaoyu
ORCID: https://orcid.org/0000-0002-8753-4210 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2019)
Direct Learning Left Ventricular Meshes from CMR Images.
In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019,
p. 25.
ISBN 9781927877647
(doi: 10.11159/icsta19.25)
Romaszko, Lukasz, Lazarus, Alan, Gao, Hao ORCID: https://orcid.org/0000-0001-6852-9435, Borowska, Agnieszka
ORCID: https://orcid.org/0000-0001-9123-6227, Luo, Xiaoyu
ORCID: https://orcid.org/0000-0002-8753-4210 and Husmeier, Dirk
ORCID: https://orcid.org/0000-0003-1673-7413
(2019)
Massive Dimensionality Reduction for the Left Ventricular Mesh.
In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019,
p. 24.
ISBN 9781927877647
(doi: 10.11159/icsta19.24)