Projects per year
Personal profile
Research interests
Spatial statistics, spatial sampling design, Monte Carlo methods
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Vangelis Evangelou is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
-
Selection of proposal distributions for multiple importance sampling
Roy, V. & Evangelou, V., 31 Jan 2024, In: Statistica Sinica. 34, 1, p. 27-46 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (SciVal)79 Downloads (Pure) -
A Design Utility Approach for Preferentially Sampled Spatial Data
Gray, E. & Evangelou, E., 31 Aug 2023, In: Journal of the Royal Statistical Society. Series C: Applied Statistics. 72, 4, p. 1041-1063 23 p., qlad040.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (SciVal) -
Multiple ply preforming of non-crimp fabrics with distributed magnetic clamping
Jagpal, R., Evangelou, V., Butler, R. & Loukaides, E., 30 Apr 2022, In: Composites Communications. 31, 101107.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Citations (SciVal)159 Downloads (Pure) -
Preforming of non-crimp fabrics with distributed magnetic clamping and Bayesian optimisation
Jagpal, R., Evangelou, V., Butler, R. & Loukaides, E., 31 Aug 2022, In: Journal of Composite Materials. 56, 18, p. 2835-2854 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Citations (SciVal)208 Downloads (Pure) -
Approximate Bayesian Inference for Geostatistical Generalised Linear Models
Evangelou, E., 1 Mar 2019, In: Foundations of Data Science. 1, 1, p. 39-60 22 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile157 Downloads (Pure)