Dr Agnieszka Borowska

  • Research Assistant (Statistics)

Research interests

Research Groups


Publications

List by: Type | Date

Jump to: 2019 | 2018
Number of items: 7.

2019

Husmeier, D. , Lazarus, A., Noè, U. , Davies, V. , Borowska, A. , Macdonald, B. , Gao, H. , Berry, C. and Luo, X. (2019) Statistical Emulation of Cardiac Mechanics: an Important Step Towards a Clinical Decision Support System. In: International Conference on Theoretical and Applied Nanoscience and Nanotechnology (ICSTA'19), Lisbon, Portugal, 13-14 Aug 2019, p. 29. ISBN 9781927877647 (doi:10.11159/icsta19.29)

Romaszko, L., Borowska, A. , Lazarus, A., Gao, H. , Luo, X. and Husmeier, D. (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, L., Lazarus, A., Gao, H. , Borowska, A. , Luo, X. and Husmeier, D. (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)

Borowska, A. , Hoogerheide, L., Koopman, S. J. and van Dijk, H. K. (2019) Partially censored posterior for robust and efficient risk evaluation. Journal of Econometrics, (Accepted for Publication)

Baştürk, N., Borowska, A. , 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, A. , Hoogerheide, L. F. and Koopman, S. J. (2019) Bayesian Risk Forecasting for Long Horizons. Discussion Paper. Tinbergen Institute.

2018

Barra, I., Borowska, A. and Koopman, S. J. (2018) Bayesian dynamic modeling of high-frequency integer price changes. Journal of Financial Econometrics, 16(3), pp. 384-424. (doi:10.1093/jjfinec/nby010)

This list was generated on Fri Nov 22 10:48:46 2019 GMT.
Jump to: Articles | Research Reports or Papers | Conference Proceedings
Number of items: 7.

Articles

Borowska, A. , Hoogerheide, L., Koopman, S. J. and van Dijk, H. K. (2019) Partially censored posterior for robust and efficient risk evaluation. Journal of Econometrics, (Accepted for Publication)

Baştürk, N., Borowska, A. , 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, I., Borowska, A. and Koopman, S. J. (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, A. , Hoogerheide, L. F. and Koopman, S. J. (2019) Bayesian Risk Forecasting for Long Horizons. Discussion Paper. Tinbergen Institute.

Conference Proceedings

Husmeier, D. , Lazarus, A., Noè, U. , Davies, V. , Borowska, A. , Macdonald, B. , Gao, H. , Berry, C. and Luo, X. (2019) Statistical Emulation of Cardiac Mechanics: an Important Step Towards a Clinical Decision Support System. In: International Conference on Theoretical and Applied Nanoscience and Nanotechnology (ICSTA'19), Lisbon, Portugal, 13-14 Aug 2019, p. 29. ISBN 9781927877647 (doi:10.11159/icsta19.29)

Romaszko, L., Borowska, A. , Lazarus, A., Gao, H. , Luo, X. and Husmeier, D. (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, L., Lazarus, A., Gao, H. , Borowska, A. , Luo, X. and Husmeier, D. (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)

This list was generated on Fri Nov 22 10:48:46 2019 GMT.