Research output per year
Research output per year
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Dive into the research topics where Victor Elvira Arregui is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A Probabilistic Incremental Proximal Gradient Method
Akyildiz, O. D., Chouzenoux, E., Elvira, V. & Miguez, J., 1 Aug 2019, In: IEEE Signal Processing Letters. 26, 8, p. 1257-1261 5 p., 8755451.Research output: Contribution to journal › Article › peer-review
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Efficient Adaptive Multiple Importance Sampling
El-Laham, Y., Martino, L., Elvira Arregui, V. & Bugallo, M. F., 2019.Research output: Contribution to conference › Paper › peer-review
Open AccessFile -
Elucidating the auxiliary particle filter via multiple importance sampling
Elvira Arregui, V., Martino, L., Bugallo, M. & Djurić, P. M., 30 Oct 2019, In: IEEE Signal Processing Magazine. 36, 6, p. 145-152 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation
Elvira Arregui, V., Closas, P. & Martino, L., 2019.Research output: Contribution to conference › Paper › peer-review
Open AccessFile -
Generalized multiple importance sampling
Elvira, V., Martino, L., Luengo, D. & Bugallo, M. F., 12 Apr 2019, In: Statistical Science. 34, 1, p. 129-155 27 p.Research output: Contribution to journal › Article › peer-review
Projects
- 1 Active
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Combining particle filters for Bayesian inference in multiple complex models
3/06/20 → 2/06/22
Project: Research