Victor Elvira Arregui

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48 Article
42 Conference contribution
18 Paper
2 Chapter
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- 2 Review article
- 1 Abstract

Validating hidden Markov models for seabird behavioural inference
Akeresola, R., Butler, A., L. Jones, E., King, R., Elvira, V., Black, J. & Robertson, G., 4 Mar 2024, In: Ecology and Evolution. 14, 3, e11116.
Research output: Contribution to journal › Article › peer-review

Open Access
A Point Mass Proposal Method for Bayesian State-Space Model-Fitting
Llewellyn, M., King, R., Elvira, V. & Ross, G. J., 17 Jun 2023, (Accepted/In press) In: Statistics and Computing.
Research output: Contribution to journal › Article › peer-review
When Ecological Individual Heterogeneity Models and Large Data Collide: An Importance Sampling Approach
King, R., Sarzo, B. & Elvira, V., 23 Feb 2023, (Accepted/In press) In: Annals of Applied Statistics.
Research output: Contribution to journal › Article › peer-review

Open Access
File
A sensor selection approach to maneuvering target tracking based on trajectory function of time
Liu, C., Di, K., Li, T. & Elvira, V., 3 Sept 2022, In: EURASIP Journal on Advances in Signal Processing. 2022, 14 p., 72.
Research output: Contribution to journal › Article › peer-review

Open Access
Optimized Population Monte Carlo
Elvira, V. & Chouzenoux, E., 29 Apr 2022, (Accepted/In press) In: IEEE Transactions on Signal Processing. 13 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File

6 Active
7 Finished

Stochastic PDEs meet QFT: Large deviations, Uhlenbeck compactness, and Yang–Mills
Chevyrev, I., Bak, T., Elvira Arregui, V., MacPherson, S. E., Pak, N. & Perkins, C.
UKRI (formerly RCUK)
1/09/24 → 31/08/26
Project: Research
TTS APC: Transborylation as a General Turnover Strategy for Asymmetric p-Block Catalysis
Thomas, S., Bak, T., Elvira Arregui, V., Haeri, S., MacPherson, S. E., Pak, N., Perkins, C., Robertson, N. & Vendrell Escobar, M.
UKRI (formerly RCUK)
1/05/24 → 30/04/26
Project: Research
Multiscale data-driven failure prediction of hydrogen composite vessels under static and dynamic impact loading
Yang, D., Bak, T., Elvira Arregui, V., Haeri, S., Li, W., MacPherson, S. E., Pak, N. & Perkins, C.
UKRI (formerly RCUK)
1/09/23 → 31/08/25
Project: Research
Global Lidar Altimetry Mission – Pre-Phase A
Hancock, S., Elvira Arregui, V. & Mudd, S.
Space Flow Ltd
1/04/23 → 31/03/25
Project: Research
State-space models and approximate probabilistic inference over networks
Elvira Arregui, V.
Us Army Research Laboratory (Rcl)
12/09/22 → 11/09/25
Project: Research

Victor Elvira Arregui

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Validating hidden Markov models for seabird behavioural inference

A Point Mass Proposal Method for Bayesian State-Space Model-Fitting

When Ecological Individual Heterogeneity Models and Large Data Collide: An Importance Sampling Approach

A sensor selection approach to maneuvering target tracking based on trajectory function of time

Optimized Population Monte Carlo

Stochastic PDEs meet QFT: Large deviations, Uhlenbeck compactness, and Yang–Mills

TTS APC: Transborylation as a General Turnover Strategy for Asymmetric p-Block Catalysis

Multiscale data-driven failure prediction of hydrogen composite vessels under static and dynamic impact loading

Global Lidar Altimetry Mission – Pre-Phase A

State-space models and approximate probabilistic inference over networks

Victor Elvira Arregui

Fingerprint

Collaborations and top research areas from the last five years

Research output

Projects