Víctor Elvira

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Luca MartinoAssociate Professor, Universidad Rey Juan Carlos (URJC)Verified email at urjc.es
David LuengoUniversidad Politécnica de Madrid (UPM)Verified email at upm.es
Ignacio SantamariaProfessor, Electrical Engineering, University of CantabriaVerified email at unican.es
Joaquin MiguezDepartment of Signal Theory & Communications, Universidad Carlos III de MadridVerified email at tsc.uc3m.es
Emilie ChouzenouxFull researcher, Inria Saclay, FranceVerified email at centralesupelec.fr
Gustau Camps-VallsProfessor. IEEE Fellow. ELLIS Fellow. Image Processing Lab (IPL). Universitat de ValènciaVerified email at uv.es
Christian RobertUniversité Paris Dauphine, PSL & University of WarwickVerified email at ceremade.dauphine.fr
Steven Van VaerenberghAssistant professor, University of CantabriaVerified email at unican.es
Jesse ReadÉcole PolytechniqueVerified email at polytechnique.edu
Milos KrsticProfessor, University Potsdam; Department Head, IHP, Frankfurt (Oder) GermanyVerified email at ihp-microelectronics.com
Ö. Deniz AkyildizResearch Associate, The Alan Turing Institute & University of CambridgeVerified email at turing.ac.uk
TianCheng LiProfessor, School of Automation, Northwestern Polytechnical UniversityVerified email at usal.es
Pau ClosasAssistant Professor of ECE, Northeastern UniversityVerified email at northeastern.edu
Mateu SbertUniversity of GironaVerified email at udg.edu
Brian M SadlerArmy Research LaboratoryVerified email at mail.mil
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
David RamírezAssociate Professor, Universidad Carlos III de MadridVerified email at uc3m.es
Ruth KingThomas Bayes' Chair of Statistics, University of EdinburghVerified email at ed.ac.uk
Laszlo Szirmay-KalosProfessor of Computer Science, Budapest University of Technology and EconomicsVerified email at iit.bme.hu
Ken NewmanBiomathematics and Statistics of Scotland and School of Mathematics, University of EdinburghVerified email at bioss.ac.uk

Víctor Elvira

Reader in Statistics and Data Science, University of Edinburgh

Verified email at ed.ac.uk - Homepage

Bayesian inference computational statistics Monte Carlo methods statistical signal processing machine learning


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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	157	2017
Effective sample size for importance sampling based on discrepancy measures L Martino, V Elvira, F Louzada Signal Processing 131, 386-401, 2017	148	2017
Generalized multiple importance sampling V Elvira, L Martino, D Luengo, MF Bugallo Statistical Science 34 (1), 129-155, 2019	129	2019
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	127	2017
Layered adaptive importance sampling L Martino, V Elvira, D Luengo, J Corander Statistics and Computing 27 (3), 599-623, 2017	102	2017
Accelerating MCMC algorithms CP Robert, V Elvira, N Tawn, C Wu Wiley Interdisciplinary Reviews: Computational Statistics 10 (5), e1435, 2018	96	2018
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	85	2015
Improving population Monte Carlo: Alternative weighting and resampling schemes V Elvira, L Martino, D Luengo, MF Bugallo Signal Processing 131, 77-91, 2017	84	2017
Efficient multiple importance sampling estimators V Elvira, L Martino, D Luengo, MF Bugallo IEEE Signal Processing Letters 22 (10), 1757-1761, 2015	78	2015
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	75	2016
Group importance sampling for particle filtering and MCMC L Martino, V Elvira, G Camps-Valls Digital Signal Processing 82, 133-151, 2018	67	2018
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	59	2016
A general criterion for analog Tx-Rx beamforming under OFDM transmissions J Via, I Santamaria, V Elvira, R Eickhoff IEEE Transactions on Signal Processing 58 (4), 2155-2167, 2010	54	2010
Heretical multiple importance sampling V Elvira, L Martino, D Luengo, MF Bugallo IEEE Signal Processing Letters 23 (10), 1474-1478, 2016	49	2016
Rethinking the effective sample size V Elvira, L Martino, CP Robert arXiv preprint arXiv:1809.04129, 2018	39	2018
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	38	2020
The recycling Gibbs sampler for efficient learning L Martino, V Elvira, G Camps-Valls Digital Signal Processing 74, 1-13, 2018	38	2018
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	36	2018
Metropolis sampling L Martino, V Elvira arXiv preprint arXiv:1704.04629, 2017	36	2017
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	35	2008

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