Víctor Elvira
Also known as Victor Elvira
Víctor Elvira studies probabilistic machine learning and computational statistics. His methods include importance sampling, sequential Monte Carlo and Bayesian inference. Elvira works on computational statistics, signal processing and probabilistic learning. It names importance sampling and sequential Monte Carlo as central recent research methods. He received the EURASIP Early Career Award in 2024. In 2025, he worked on an ARIA-funded project on forecasting climate tipping points. His focus is on probabilistic forecasts.
- Now at
- University of Edinburgh
- Works
- 249
- Citations
- 3,445
- h-index
- 28
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2024
Research recognition
He received the EURASIP Early Career Award in 2024.
-
2025
Climate tipping-point forecasts
An ARIA-funded project on forecasting climate tipping points began in 2025. His focus is on probabilistic forecasts.
-
As of October 2026
Methods for uncertain data
Elvira works on computational statistics, signal processing and probabilistic learning. It names importance sampling and sequential Monte Carlo as central recent research methods.
Sources and credits
Photo: victorelvira.github.io; creator not stated. License: Not stated by source. Source: victorelvira.github.io. Cropped to a square and resized. Ask us to remove or replace this photo.