Follow
Víctor Elvira
Title
Cited by
Cited by
Year
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
1672017
Effective sample size for importance sampling based on discrepancy measures
L Martino, V Elvira, F Louzada
Signal Processing 131, 386-401, 2017
1532017
Generalized multiple importance sampling
V Elvira, L Martino, D Luengo, MF Bugallo
Statistical Science 34 (1), 129-155, 2019
1332019
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
1312017
Layered adaptive importance sampling
L Martino, V Elvira, D Luengo, J Corander
Statistics and Computing 27 (3), 599-623, 2017
1032017
Accelerating MCMC algorithms
CP Robert, V Elvira, N Tawn, C Wu
Wiley Interdisciplinary Reviews: Computational Statistics 10 (5), e1435, 2018
1022018
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
862015
Improving population Monte Carlo: Alternative weighting and resampling schemes
V Elvira, L Martino, D Luengo, MF Bugallo
Signal Processing 131, 77-91, 2017
852017
Efficient multiple importance sampling estimators
V Elvira, L Martino, D Luengo, MF Bugallo
IEEE Signal Processing Letters 22 (10), 1757-1761, 2015
792015
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
782016
Group importance sampling for particle filtering and MCMC
L Martino, V Elvira, G Camps-Valls
Digital Signal Processing 82, 133-151, 2018
702018
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
592016
A general criterion for analog Tx-Rx beamforming under OFDM transmissions
J Via, I Santamaría, V Elvira, R Eickhoff
IEEE Transactions on Signal Processing 58 (4), 2155-2167, 2010
542010
A survey of Monte Carlo methods for parameter estimation
D Luengo, L Martino, M Bugallo, V Elvira, S Särkkä
EURASIP Journal on Advances in Signal Processing 2020 (1), 1-62, 2020
512020
Heretical multiple importance sampling
V Elvira, L Martino, D Luengo, MF Bugallo
IEEE Signal Processing Letters 23 (10), 1474-1478, 2016
482016
Local-diffusion-based distributed SMC-PHD filtering using sensors with limited sensing range
T Li, V Elvira, H Fan, JM Corchado
IEEE Sensors Journal 19 (4), 1580-1589, 2018
422018
Rethinking the effective sample size
V Elvira, L Martino, CP Robert
International Statistical Review, 2018
402018
The recycling Gibbs sampler for efficient learning
L Martino, V Elvira, G Camps-Valls
Digital Signal Processing 74, 1-13, 2018
392018
Metropolis sampling
L Martino, V Elvira
arXiv preprint arXiv:1704.04629, 2017
352017
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
352009
The system can't perform the operation now. Try again later.
Articles 1–20