Journal papers

  1. V. Elvira, L. Martino, D. Luengo, and M. Bugallo, "Generalized Multiple Importance Sampling", to appear in Statistical Science, 2018. arXiv PDF Version 
  2. C. P. Robert, V. Elvira, N. Tawn, C. Wu, "Accelerating MCMC Algorithms", WIREs Computational Statistics, vol. 10, no. 5, e1435, 2018. arXiv
  3. L. Martino, V. Elvira, G. Camps-Valls, "Group Importance Sampling for Particle Filtering and MCMC", Digital Signal Processing, vol. 82, pp. 133-151, 2018. arXiv
  4. Y. El-Laham, V. Elvira, M. Bugallo, "Robust Covariance Adaptation in Adaptive Importance Sampling", IEEE Signal Processing Letters, vol. 25, no. 7, pp. 1049-1053, July, 2018. arXiv
  5. T. Li, V. Elvira, H. Fan, and J. M. Corchado, "Local Diffusion based Distributed SMC-PHD Filtering Using Sensors with Limited Sensing Range", to appear in IEEE Sensors, 2018.
  6. I. Moreno-Torres, C. González, M. Marconi, A. García, L. Rodriguez, V. Elvira, E. Ramil, L. Campos, R. García, F. Al-Shahrour, C. Fustero, A. Sánchez, A. García-Merino, A. Sánchez-López, "Immunophenotype and Transcriptome Profile of Patients with Multiple Sclerosis Treated with Fingolimod. Setting Up a Model for Prediction of Response in a 2-Year Translational Study", Frontiers in Immunology, vol. 9, no. 1693, 2018.
  7. D. Luengo, G. Ríos-Muñoz, V. Elvira, C. Sánchez, A. Artés-Rodríguez, "Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms", to appear in IEEE Journal of Biomedical and Health Informatics, 2018.
  8. M. Sbert, H. Havran, L. Szirmay-Kalos, V. Elvira, "Multiple Importance Sampling Characterization by Weighted Mean Invariance”, Visual Computer, Vol. 34, Issue 6–8, pp 843–852, June 2018.
  9. L. Martino, V. Elvira, G. Camps-Valls, "The Recycling Gibbs Sampler for Efficient Learning", Digital Signal Processing, Vol. 74, pp. 1-13, March, 2018. arXiv PDF Version 
  10. D. Luengo, L. Martino, V. Elvira, M. Bugallo, "Efficient Linear Fusion of Partial Estimators", Digital Signal Processing, Vol. 78, pp. 265-283, July, 2018.
  11. V. Elvira, J. Míguez, and P. M. Djuric, "Adapting the Number of Particles in Sequential Monte Carlo Methods through an Online Scheme for Convergence Assessment", IEEE Transactions on Signal Processing, Vol. 65, no. 7, pp. 1781-1794, April, 2017. arXiv
  12. M. F. Bugallo, V. Elvira, L. Martino, D. Luengo, J. Míguez, and P. M. Djuric, "Adaptive Importance Sampling: The Past, the Present, and the Future", IEEE Signal Processing Magazine, Vol. 34, no. 4, pp. 60-79, July, 2017. PDF Version 
  13. V. Elvira, L. Martino, D. Luengo, and M. Bugallo, "Improving Population Monte Carlo: Alternative Weighting and Resampling Schemes", Signal Processing, Vol. 131, pp. 77-91, February, 2017. arXiv PDF Version 
  14. L. Martino, V. Elvira, and F. Louzada, "Effective Sample Size for Importance Sampling Based on the Discrepancy Measures", Signal Processing, Vol. 131, pp. 386-401, February, 2017. arXiv PDF Version 
  15. L. Martino, J. Read, V. Elvira, and F. Louzada, "Cooperative Parallel Particle Filters for On-line Model Selection and Applications to Urban Mobility", Digital Signal Processing, Vol. 60, pp. 172–185, January, 2017. arXiv PDF Version 
  16. L. Martino, V. Elvira, D. Luengo, and J. Corander, "Layered Adaptive Importance Sampling", Statistics and Computing, Vol. 27, No. 3, pp. 599-623, May. 2017. arXiv PDF Version 
  17. V. Elvira, L. Martino, D. Luengo, and M. Bugallo, "Heretical Mutiple Importance Sampling" IEEE Signal Processing Letters, Vol. 23, no. 10, pp. 1474-1478, October, 2016. arXiv PDF Version 
  18. L. Martino, V. Elvira, D. Luengo, and J. Corander, and F. Louzada "Orthogonal parallel MCMC methods for sampling and optimization", Digital Signal Processing, Vol. 58, pp. 64-84, November, 2016. arXiv PDF Version 
  19. V. Elvira, L. Martino, D. Luengo, and M. Bugallo, "Efficient Multiple Importance Sampling Estimators", IEEE Signal Processing Letters, Vol. 22, no. 10, pp. 1757-1761, March, 2015. arXiv PDF Version 
  20. L. Martino, V. Elvira, D. Luengo, and J. Corander, "An Adaptive Population Importance Sampler: Learning from the Uncertanity", IEEE Transactions on Signal Processing, Vol. 63, no. 16, pp. 4422-4437, August, 2015. PDF Version 
  21. V. Elvira, and J. Vía, "Analog antenna combining in transmit correlated channels: Transceiver design and performance evaluation", Signal Processing, Vol. 92, no. 3, pp. 757-766, March, 2012. PDF Version 
  22. Z. Stamenkovic, K. Tittelbach-Helmrich, M. Krstic, J. Ibáñez, V. Elvira, and I. Santamaría, "MAC and Baseband Processors for RF-MIMO WLAN", EURASIP Journal on Wireless Communications and Networking, December, 2011. PDF Version 
  23. J. Vía, I. Santamaría, V. Elvira, and R. Eickhoff, "A General Criterion for Analog Tx-Rx Beamforming under OFDM Transmissions", IEEE Transactions on Signal Processing, Vol. 58, no. 4, pp. 2155-2167, April, 2010. PDF Version 

Journal papers under review

  1. V. Elvira, L. Martino, C. P. Robert, "Rethinking the Effective Sample Size", submitted, 2018. arXiv
  2. D. Luengo, V. Elvira, L. Martino, S. Sarkka, M. Bugallo, "A Survey of Monte Carlo Estimation of Static Parameters for Signal Processing Applications", submitted, 2017.

Conference papers

2018

  • V. Elvira, L. Martino, M. F. Bugallo, and P. M. Djuric, "In Search for Improved Auxiliary Particle Filters", 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, September, 2018.
  • L. Martino, V. Elvira, G. Camps-Valls, "Distributed Particle Metropolis-Hastings schemes" , IEEE Workshop on Statistical Signal Processing (SSP 2018), Freiburg, Germany, 2018.
  • L. Martino, V. Elvira, J. Miguez, A. Artes-Rodriguez, P. Djuric, "A comparison of clipping strategies for importance sampling", IEEE Workshop on Statistical Signal Processing (SSP 2018), Freiburg, Germany, 2018.
  • Ö. Deniz Akyildiz, V. Elvira, J.Miguez, "The Incremental Proximal Method: A Probabilistic Perspective", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, Canada, April, 2018.
  • S. Van Vaerenbergh, I. Santamaría, V. Elvira, M. Salvattori, "Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, Canada, April, 2018.

2017

  • V. Elvira, D. Luengo, L. Martino, M. Bugallo, "Population Monte Carlo Schemes with Reduced Path Degeneracy", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), Curaçao, Dutch Antilles, December, 2017.
  • O. Lang, V. Elvira, and M. Huemer, ''Estimation of Real Valued Impulse Responses based on Noisy Magnitude and Phase Measurements,'' IEEE Conference on Signals, Systems, and Computers (Asilomar), 2017.
  • V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "Novel weighting and resampling schemes in Population Monte Carlo", French National Conference on Signal and Image Processing (GRETSI 2017), Juan-les-Pines, France, September, 2017.
  • L. Martino, V. Elvira, and D. Luengo, "Anti-tempered Layered Adaptive Importance Sampling", 22nd International Conference on Digital Signal Processing (DSP 2017), London, UK, August, 2017.
  • V. Elvira, J. Miguez, and P. M. Djuric, "Robust inference techniques in state-space models with model mismatch", 61st World Statistics Congress (ISI 2017), Marrakech, Morocco, 2017.
  • L. Martino, V. Elvira, and G. Camps-Valls, "Group Metropolis Sampling", 25th European Signal Processing Conference (EUSIPCO 2017), Kos, Greece, August, 2017.
  • L. Martino, V. Elvira, and G. Camps-Valls, "Recycling Gibbs Sampling", 25th European Signal Processing Conference (EUSIPCO 2017), Kos, Greece, August, 2017.

2016

  • M. F. Bugallo, V. Elvira, and L. Martino, "A new strategy for effective learning in population monte carlo sampling," IEEE Conference on Signals, Systems, and Computers (Asilomar 2016), pp. 1540-1544, Pacific Groove, California, USA, November 2016.
  • V. Elvira, J. Miguez, and P. M. Djuric, "A Novel Algorithm for Adapting the Number of Particles in Particle Filtering", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2016), Rio de Janeiro, Brazil, July, 2016.
  • L. Martino, V. Elvira, D. Luengo, and F. Louzada, " Adaptive Population Importance Samplers: A General Perspective", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2016), Rio de Janeiro, Brazil, July, 2016.
  • V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "Novel weighting schemes with non-disjoint mixtures of proposals in multiple importance sampling", IEEE Workshop on Statistical Signal Processing (SSP 2016), Mallorca, Spain, June, 2016.
  • L. Martino, V. Elvira, and F. Lozada, "Alternative Effective Sample Size measures for Importance Sampling", IEEE Workshop on Statistical Signal Processing (SSP 2016), Mallorca, Spain, June, 2016.
  • L. Martino, V. Elvira, and F. Louzada, "Weighting a resampled particle in Sequential Monte Carlo", IEEE Workshop on Statistical Signal Processing (SSP 2016), Mallorca, Spain, June, 2016.
  • V. Elvira, J. Miguez, and P. M. Djuric, "Online Adaptation of the Number of Particles of Sequential Monte Carlo Methods", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, China, March, 2016.
  • L. Martino, V. Elvira, D. Luengo, F. Louzada, "Parallel Metropolis chains with cooperative adaptation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, China, March, 2016.
  • D. Luengo, G. Ríos-Muñoz, V. Elvira, A. Artés-Rodríguez, "A hierarchical algorithm for causality discovery among atrial fibrillation electrograms", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, China, March, 2016.

2015

  • V. Elvira, L. Martino, D. Luengo, and M. Bugallo, "On Sample Generation and Weight Calculation in Multiple Importance Sampling", IEEE Conference on Signals, Systems, and Computers (ASILOMAR 2015), Pacific Groove, California, USA, November 2015.
  • D. Luengo, L. Martino, V. Elvira, M. Bugallo, "Bias Correction for Distributed Bayesian Estimators", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015), Cancún, México, December, 2015.
  • D. Luengo, G. Ríos-Muñoz, V. Elvira, "Causality Analysis of Atrial Fibrillation Electrograms", 42th Computing in Cardiology, Nice, France, September, 2015. PDF Version 
  • L. Martino, V. Elvira, D. Luengo, J. Corander, "Interacting Parallel Markov Adaptive Importance Sampling", 23th European Signal Processing Conference (EUSIPCO 2015), Nice, France, August, 2015.
  • V. Elvira, L. Martino, D. Luengo, J. Corander, "A Gradient Adaptive Population Importance Sampler", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Brisbane, Australia, April, 2015. PDF Version 
  • J. Fernández-Bes, V. Elvira, S. Van Vaerenbergh, "A Probabilistic Least-Mean-Squares Filter", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Brisbane, Australia, April, 2015. PDF Version 
  • L. Martino, V. Elvira, D. Luengo, A. Artés-Rodríguez, J. Corander, "Smelly Parallel MCMC Chains", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Brisbane, Australia, April, 2015. PDF Version 
  • D. Luengo, L. Martino, V. Elvira, M. Bugallo, "Efficient Linear Combination of Partial Monte Carlo Estimators", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Brisbane, Australia, April, 2015. PDF Version 

2014

  • L. Martino, V. Elvira, D. Luengo, A. Artés-Rodríguez, J. Corander, "Orthogonal MCMC Algorithms", IEEE Statistical Signal Processing Workshop (SSP 2014), Gold Coast, Australia, June, 2014. PDF Version 
  • V. Elvira, A. Nazábal, A. Artés-Rodríguez, "A Novel Feature Extraction Technique for Human Activity Recognition", IEEE Statistical Signal Processing Workshop (SSP 2014), Gold Coast, Australia, June, 2014. PDF Version 
  • L. Martino, V. Elvira, D. Luengo, J. Corander, "An Adaptive Population Importance Sampler", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), Florence, Italy, May, 2014. PDF Version 
  • L. Martino, V. Elvira, D. Luengo, J. Corander, "MCMC-Driven Adaptive Multiple Importance Sampling", 12th Brazilian Meeting on Bayesian Statistics, Atibaia, Brazil, March, 2014.

2011

  • R. Eickoff, K. Tittelbach-Helmrich, M. Wickert, J. Wagner, U. Mayer, V. Elvira, J. Ibáñez, Z. Stamenkovic, and F. Ellinger, "Physical layer amendments for MIMO features in 802.11 a", Future Network & Mobile Summit (FutureNetw), Warsaw, Poland, June, 2011. PDF Version 

2010

  • V. Elvira, J. Ibáñez, I. Santamaría, M. Krstic, K. Tittelbach-Helmrich, and Z. Stamenkovic, "Baseband processor for RF-MIMO WLAN", 17th IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2010), Athens, Greece, December, 2010. PDF Version 
  • Z. Stamenkovic, K. Tittelbach-Helmrich, M. Krstic, J. Ibáñez, V. Elvira, and I. Santamaría, "MAC and Baseband Hardware Platforms for RF-MIMO WLAN", 5th European Conference on Circuits and Systems for Communications, Belgrade, Serbia, November, 2010. PDF Version 
  • J. Vía, I. Santamaría, V. Elvira, and R. Eickhoff, "A general Pre-FFT criterion for MIMO-OFDM beamforming", IEEE International Conference on Communications (ICC 2010), Cape Town, South Africa, May, 2010. PDF Version 

2009

  • V. Elvira, and J. Vía, "Diversity Techniques for RF-Beamforming in MIMO-OFDM Systems: Design and Performance Evaluation", 17th European Signal Processing Conference (EUSIPCO 2009), Glasgow, United Kingdom, August, 2009. PDF Version 
  • J. Vía, V. Elvira, I. Santamaría, and R. Eickhoff, "Analog Antenna Combining for Maximum Capacity under OFDM Transmissions", IEEE International Conference on Communications (ICC 2009), Dresden, Germany, June, 2009. PDF Version 
  • J. Vía, V. Elvira, J. Ibáñez, and I. Santamaría, "Optimal Precoding for a Novel RF-MIMO Scheme in Transmit Correlated Rayleigh Channels", 10th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2009), Perugia, Italy, June, 2009. PDF Version 
  • J. Vía, V. Elvira, I. Santamaría, and R. Eickhoff, "Minimum BER beamforming in the RF domain for OFDM transmissions and linear receivers", IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP 2009), Taipei, Taiwan, April, 2009. PDF Version 

2008

  • I. Santamaría, V. Elvira, J. Vía, D. Ramírez, J. Pérez, J. Ibáñez, R. Eickhoff, and F. Ellinger, "Optimal MIMO transmission schemes with adaptive antenna combining in the RF path", 16th European Signal Processing Conference (EUSIPCO 2008), Lausanne, Switzerland, August, 2008. PDF Version 

Book chapters

  • L. Martino, V. Elvira, "Metropolis Hastings", Wiley StatsRef: Statistics Reference Online, 2017. arXiv PDF Version 
  • L. Martino, V. Elvira, D. Luengo, and J. Corander, "MCMC-Driven Adaptive Multiple Importance Sampling", Interdisciplinary Bayesian Statistics, A. Polpo de Campos (editor): Springer, 2015.
  • I. Santamaría, J. Vía, V. Elvira, J. Ibáñez, J. Pérez, R. Eickhoff, and U. Mayer, "Low-Cost and Compact RF-MIMO Transceivers", Handbook of Smart Antennas for RFID Systems, N. C. Karmakar (editor): John Wiley & Sons , 2010.

PhD dissertation

  • V. Elvira, Baseband processing in analog combining MIMO systems: from theoretical design to FPGA implementation, University of Cantabria, 2011. Google Scholar BibTex PDF Version