Mr Ionut Paun
- Research Associate (Statistics)
The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Clarity helps us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Paun, I. , Husmeier, D. and Torney, C. J. (2023) Stochastic variational inference for scalable non-stationary Gaussian process regression. Statistics and Computing, 33(2), 44. (doi: 10.1007/s11222-023-10210-w)
Paun, I. , Husmeier, D. , Hopcraft, J. G. C. , Masolele, M. M. and Torney, C. J. (2022) Inferring spatially varying animal movement characteristics using a hierarchical continuous-time velocity model. Ecology Letters, 25(12), pp. 2726-2738. (doi: 10.1111/ele.14117) (PMID:36256526)
Paun, I. , Husmeier, D. and Torney, C. (2019) A Study on Discrete-Time Movement Models. In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019, p. 27. ISBN 9781927877647 (doi: 10.11159/icsta19.27)
Paun, I. , Husmeier, D. and Torney, C. J. (2023) Stochastic variational inference for scalable non-stationary Gaussian process regression. Statistics and Computing, 33(2), 44. (doi: 10.1007/s11222-023-10210-w)
Paun, I. , Husmeier, D. , Hopcraft, J. G. C. , Masolele, M. M. and Torney, C. J. (2022) Inferring spatially varying animal movement characteristics using a hierarchical continuous-time velocity model. Ecology Letters, 25(12), pp. 2726-2738. (doi: 10.1111/ele.14117) (PMID:36256526)
Paun, I. , Husmeier, D. and Torney, C. (2019) A Study on Discrete-Time Movement Models. In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019, p. 27. ISBN 9781927877647 (doi: 10.11159/icsta19.27)
https://orcid.org/0009-0003-1673-9803