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Martino, Luca luca.martino@urjc.es

Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación / Universidad Rey Juan Carlos

Actividades

Generalized multiple importance sampling

  • Elvira V
  • Martino L
  • Luengo D
  • Bugallo M

Statistical Science (p. 129-155) - 1/2/2019

10.1214/18-sts668 Ver en origen

  • ISSN 08834237

Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels

  • Martino, Luca
  • Luengo, David;

Communications In Statistics-Simulation And Computation (p. 1798-1814) - 3/7/2019

10.1080/03610918.2018.1423694 Ver en origen

  • ISSN 15324141

Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling

  • Elvira, Victor
  • Martino, Luca
  • Bugallo, Monica F.
  • Djuric, Petar M.;

Ieee Signal Processing Magazine (p. 145-152) - 1/11/2019

10.1109/msp.2019.2938026 Ver en origen

  • ISSN 10535888
Open Access

Efficient sampling from truncated bivariate Gaussians via Box-Muller transformation

  • Martino, L.
  • Luengo, D.
  • Miguez, J.;

Electronics Letters (p. 1533-1534) - 22/11/2012

10.1049/el.2012.2816 Ver en origen

  • EISSN 1350-911X
  • ISSN 00135194

Efficient random variable generation: ratio of uniforms and polar rejection sampling

  • Luengo, D.
  • Martino, L.;

Electronics Letters (p. 326-U86) - 15/3/2012

10.1049/el.2012.0206 Ver en origen

  • ISSN 00135194

Efficient multiple importance sampling estimators

  • Elvira V
  • Martino L
  • Luengo D
  • Bugallo M

Ieee Signal Processing Letters (p. 1757-1761) - 1/10/2015

10.1109/lsp.2015.2432078 Ver en origen

  • ISSN 10709908

Efficient monte carlo methods for multi-dimensional learning with classifier chains

  • Read, Jesse
  • Martino, Luca
  • Luengo, David;

Pattern Recognition (p. 1535-1546) - 1/3/2014

10.1016/j.patcog.2013.10.006 Ver en origen

  • ISSN 00313203

Efficient linear fusion of partial estimators

  • Luengo, David
  • Martino, Luca
  • Elvira, Victor
  • Bugallo, Monica;

Digital Signal Processing (p. 265-283) - 1/7/2018

10.1016/j.dsp.2018.03.006 Ver en origen

  • ISSN 10512004

Efficient Metropolis-Hastings Proposal Mechanisms for Bayesian Regression Tree Models Contributed Discussion

  • Chkrebtii, Oksana A.;

Bayesian Analysis (p. 929-931) - 1/9/2016

10.1214/16-ba999h Ver en origen

  • ISSN 19316690

Efficient Metropolis-Hastings Proposal Mechanisms for Bayesian Regression Tree Models Comment

  • Mohammadi, Abdolreza
  • Kaptein, Maurits;

Bayesian Analysis (p. 938-940) - 1/9/2016

  • ISSN 19316690
  • iMarina

Este/a investigador/a no tiene libros.

Introduction to Africana Demography Lessons from Founders E. Franklin Frazier, WEB Du Bois, and the Atlanta School of Sociology Introduction

  • Martin, Lori Latrice;

Studies In Critical Social Sciences (p. 1-21) - 1/1/2021

10.1163/9789004433168_002 Ver en origen

  • ISSN 15734234

WEIGHTING A RESAMPLED PARTICLE IN SEQUENTIAL MONTE CARLO

  • Martino, L.
  • Elvira, V.
  • Louzada, F.;

2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) - 1/1/2016

  • iMarina

Sticky proposal densities for adaptive MCMC methods

  • Roberto Casarin
  • Luca Martino
  • LUENGO GARCIA, DAVID

Ieee Workshop On Statistical Signal Processing Proceedings (p. 1-5) - 24/8/2016

10.1109/ssp.2016.7551746 Ver en origen

Smelly parallel MCMC chains

  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 4070-4074) - 4/8/2015

Editor: IEEE.THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC

10.1109/icassp.2015.7178736 Ver en origen

  • ISBN 978-1-4673-6997-8
  • ISSN 15206149

Recycling Gibbs Sampling

  • Martino, Luca
  • Elvira, Victor
  • Camps-Valls, Gustau;

28th European Signal Processing Conference (Eusipco 2020) (p. 171-175) - 1/1/2017

  • ISSN 20761465
  • iMarina

Probabilistic Cross-Validation Estimators for Gaussian Process Regression

  • Martino, Luca
  • Laparra, Valero
  • Camps-Valls, Gustau;

28th European Signal Processing Conference (Eusipco 2020) (p. 823-827) - 1/1/2017

  • ISSN 20761465
  • iMarina

Population Monte Carlo schemes with reduced path degeneracy

  • Elvira V
  • Martino L
  • Luengo D
  • Bugallo M

2017 Ieee 7th International Workshop On Computational Advances In Multi-Sensor Adaptive Processing, Camsap 2017 (p. 1-5) - 9/3/2018

10.1109/camsap.2017.8313090 Ver en origen

Physics-Aware Gaussian Processes for Earth Observation

  • Camps-Valls, Gustau
  • Svendsen, Daniel H.
  • Martino, Luca
  • Munoz-Mari, Jordi
  • Laparra, Valero
  • Campos-Taberner, Manuel
  • Luengo, David;
... Ver más Contraer

Proceedings Of The Scandinavian Conference On Image Analysis (Scia) (p. 205-217) - 12/6/2017

10.1007/978-3-319-59129-2_18 Ver en origen

  • ISSN 03029743

Parallel metropolis chains with cooperative adaptation

  • Víctor Elvira
  • Luca Martino
  • Francisco Louzada
  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 3974-3978) - 18/5/2016

10.1109/icassp.2016.7472423 Ver en origen

  • ISSN 15206149

Parallel interacting Markov adaptive importance sampling

  • LUENGO GARCIA, DAVID

2015 23rd European Signal Processing Conference, Eusipco 2015 (p. 499-503) - 22/12/2015

10.1109/eusipco.2015.7362433 Ver en origen

  • ISSN 20761465

PARTICLE GROUP METROPOLIS METHODS FOR TRACKING THE LEAF AREA INDEX

  • Martino, L
  • Elvira, V
  • Camps-Valls, G

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 5865-5869) - 1/1/2020

10.1109/icassp40776.2020.9053962 Ver en origen

  • ISSN 15206149

Adaptive quadrature schemes for Bayesian inference via active learning

  • Fernandez, Fernando Llorente
  • Martino, Luca
  • Elvira, Victor
  • Delgado, David
  • Lopez-Santiago, Javier;

IEEE Access (p. 208462-208483) - 1/12/2020

Editor: UNIVERSIDAD CARLOS III DE MADRID

https://doi.org/10.1109/access.2020.3038333 Ver en origen

  • EISSN 2169-3536
  • ISSN 21693536

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 5/03/24 16:41