Nombre de documents

16

CV de Víctor Elvira


Communication dans un congrès9 documents

  • David Lunego, Víctor Elvira. Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms. Computing in Cardiology 2016, Sep 2017, Vancouver Canada. <hal-01435714>
  • Luca Martino, Víctor Elvira, Francisco Louzada. Weighting a resampled particle in Sequential Monte Carlo. IEEE Workshop on Statistical Signal Processing (SSP 2016), Jun 2016, Mallorca, Spain. <hal-01437046>
  • Luca Martino, Víctor Elvira, Francisco Louzada. Alternative Effective Sample Size measures for Importance Sampling. IEEE Workshop on Statistical Signal Processing (SSP 2016), Jun 2016, Mallorca, Spain. <hal-01437045>
  • Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo. Novel weighting schemes with non-disjoint mixtures of proposals in multiple importance sampling. IEEE Workshop on Statistical Signal Processing (SSP 2016), Jun 2016, Mallorca, Spain. <10.1109/SSP.2016.7551744>. <hal-01437044>
  • Víctor Elvira, Luca Martino, David Luengo, Francisco Louzada. Adaptive Population Importance Samplers: A General Perspective. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2016), Jul 2016, Rio de Janeiro, Brazil. <10.1109/SAM.2016.7569668>. <hal-01437043>
  • Víctor Elvira, Joaquín Míguez, Petar M. Djuric. A Novel Algorithm for Adapting the Number of Particles in Particle Filtering. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2016), Jul 2016, Rio de Janeiro, Brazil. <10.1109/SAM.2016.7569688.>. <hal-01437041>
  • Víctor Elvira, Joaquín Míguez, Petar 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), Mar 2016, Shanghai, China. <hal-01437047>
  • Luca Martino, Víctor Elvira. Parallel Metropolis chains with cooperative adaptation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. <hal-01437048>
  • Gonzalo Ríos-Muñoz, Víctor Elvira, David Luengo, Antonio Artes-Rodriguez. A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. <hal-01437049>

Article dans une revue7 documents

  • Luca Martino, Víctor Elvira, Jesse Read, Francisco Louzada. Cooperative Parallel Particle Filters for On-line Model Selection and Applications to Urban Mobility. Digital Signal Processing, Elsevier, 2017, 60, pp.172-185. <10.1016/j.dsp.2016.09.011>. <hal-01437032>
  • Víctor Elvira, Joaquín Míguez, Petar M. Djuric. Adapting the Number of Particles in Sequential Monte Carlo Methods through an Online Scheme for Convergence Assessment. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017. <hal-01437029>
  • Luca Martino, Víctor Elvira, Francisco Louzada. Effective Sample Size for Importance Sampling Based on the Discrepancy Measures. Signal Processing, Elsevier, 2017, 131, pp.386-401. <10.1016/j.sigpro.2016.08.025>. <hal-01437031>
  • Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo. Improving Population Monte Carlo: Alternative Weighting and Resampling Schemes. Signal Processing, Elsevier, 2017, 131, pp.77-91. <10.1016/j.sigpro.2016.07.012>. <hal-01437035>
  • Luca Martino, Víctor Elvira, David Luengo, Jukka Corander, Francisco Louzada. Orthogonal parallel MCMC methods for sampling and optimization. Digital Signal Processing, Elsevier, 2016, 58, pp. 64-84. <10.1016/j.dsp.2016.07.013>. <hal-01437040>
  • Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo. Heretical Mutiple Importance Sampling. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2016, 23 (10), pp.1474-1478. <10.1109/LSP.2016.2600678>. <hal-01437026>
  • Luca Martino, Víctor Elvira, David Luengo, Jukka Corander. Layered Adaptive Importance Sampling. Statistics and Computing, Springer Verlag (Germany), 2016, pp.1-15. <10.1007/s11222-016-9642-5>. <hal-01437037>