Víctor Elvira
TitleCited byYear
Cooperative parallel particle filters for online model selection and applications to urban mobility
L Martino, J Read, V Elvira, F Louzada
Digital Signal Processing 60, 172-185, 2017
732017
Effective sample size for importance sampling based on discrepancy measures
L Martino, V Elvira, F Louzada
Signal Processing 131, 386-401, 2017
662017
Generalized multiple importance sampling
V Elvira, L Martino, D Luengo, MF Bugallo
Statistical Science 34 (1), 129-155, 2019
60*2019
An adaptive population importance sampler: Learning from uncertainty
L Martino, V Elvira, D Luengo, J Corander
IEEE Transactions on Signal Processing 63 (16), 4422-4437, 2015
582015
Layered adaptive importance sampling
L Martino, V Elvira, D Luengo, J Corander
Statistics and Computing 27 (3), 599-623, 2017
542017
Efficient multiple importance sampling estimators
V Elvira, L Martino, D Luengo, MF Bugallo
IEEE Signal Processing Letters 22 (10), 1757-1761, 2015
512015
A general criterion for analog Tx-Rx beamforming under OFDM transmissions
J Vía, I Santamaría, V Elvira, R Eickhoff
IEEE Transactions on Signal Processing 58 (4), 2155-2167, 2010
472010
Orthogonal parallel MCMC methods for sampling and optimization
L Martino, V Elvira, D Luengo, J Corander, F Louzada
Digital Signal Processing 58, 64-84, 2016
452016
Adaptive importance sampling: the past, the present, and the future
MF Bugallo, V Elvira, L Martino, D Luengo, J Miguez, PM Djuric
IEEE Signal Processing Magazine 34 (4), 60-79, 2017
432017
Improving population Monte Carlo: Alternative weighting and resampling schemes
V Elvira, L Martino, D Luengo, MF Bugallo
Signal Processing 131, 77-91, 2017
432017
Group Importance Sampling for particle filtering and MCMC
L Martino, V Elvira, G Camps-Valls
Digital Signal Processing 82, 133-151, 2018
352018
Optimal MIMO transmission schemes with adaptive antenna combining in the RF path
I Santamaría, V Elvira, J Vía, D Ramírez, J Pérez, J Ibáñez, R Eickoff, ...
2008 16th European Signal Processing Conference, 1-5, 2008
352008
Heretical multiple importance sampling
V Elvira, L Martino, D Luengo, MF Bugallo
IEEE Signal Processing Letters 23 (10), 1474-1478, 2016
342016
Minimum BER beamforming in the RF domain for OFDM transmissions and linear receivers
J Vía, V Elvira, I Santamaria, R Eickhoff
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
312009
Adapting the number of particles in sequential Monte Carlo methods through an online scheme for convergence assessment
V Elvira, J Míguez, PM Djurić
IEEE Transactions on Signal Processing 65 (7), 1781-1794, 2016
282016
Analog antenna combining for maximum capacity under OFDM transmissions
J Vía, V Elvira, I Santamaria, R Eickhoff
2009 IEEE International Conference on Communications, 1-5, 2009
262009
Accelerating MCMC algorithms
CP Robert, V Elvira, N Tawn, C Wu
Wiley Interdisciplinary Reviews: Computational Statistics 10 (5), e1435, 2018
212018
Weighting a resampled particle in Sequential Monte Carlo
L Martino, V Elvira, F Louzada
2016 IEEE Statistical Signal Processing Workshop (SSP), 1-5, 2016
212016
The recycling Gibbs sampler for efficient learning
L Martino, V Elvira, G Camps-Valls
Digital Signal Processing 74, 1-13, 2018
182018
An adaptive population importance sampler
L Martino, V Elvira, D Luengo, J Corander
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
172014
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Articles 1–20