Martino, Luca luca.martino@urjc.es

Actividades

Orthogonal parallel MCMC methods for sampling and optimization

  • Martino, L.
  • Elvira, V.
  • Luengo, D.
  • Corander, J.
  • Louzada, F.;

Digital Signal Processing (p. 64-84) - 1/11/2016

10.1016/j.dsp.2016.07.013 Ver en origen

  • ISSN 10512004

The Recycling Gibbs sampler for efficient learning

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

Digital Signal Processing (p. 1-13) - 1/3/2018

10.1016/j.dsp.2017.11.012 Ver en origen

  • ISSN 10512004

A review of multiple try MCMC algorithms for signal processing

  • Martino, Luca;

Digital Signal Processing (p. 134-152) - 1/4/2018

10.1016/j.dsp.2018.01.004 Ver en origen

  • ISSN 10512004
Open Access

Deep importance sampling based on regression for model inversion and emulation

  • Llorente, F.
  • Martino, L.
  • Delgado-Gomez, D.
  • Camps-Valls, G.;

DIGITAL SIGNAL PROCESSING (p. 1-22) - 1/9/2021

https://doi.org/10.1016/j.dsp.2021.103104 Ver en origen

  • EISSN 1095-4333
  • ISSN 1051-2004

Issues in the Multiple Try Metropolis mixing

  • Martino, L.
  • Louzada, F.;

Computational Statistics (p. 239-252) - 1/3/2017

10.1007/s00180-016-0643-9 Ver en origen

  • ISSN 09434062

On the flexibility of the design of multiple try Metropolis schemes

  • Martino, Luca
  • Read, Jesse;

Computational Statistics (p. 2797-2823) - 1/12/2013

10.1007/s00180-013-0429-2 Ver en origen

  • ISSN 09434062

Target-aware Bayesian inference via generalized thermodynamic integration

  • Llorente, F.
  • Martino, L.
  • Delgado, D.;

Computational Statistics - 24/4/2023

10.1007/s00180-023-01358-0 Ver en origen

  • ISSN 09434062

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

Adaptive rejection sampling with fixed number of nodes

  • Martinelli, Lucas
  • Smiraglia, Romina;

Communications In Statistics-Simulation And Computation (p. 655-665) - 16/3/2019

10.1080/03610918.2017.1395039 Ver en origen

  • ISSN 15324141

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

MCMC-Driven Adaptive Multiple Importance Sampling

  • Martino, Luca
  • Elvira, Victor
  • Luengo, David
  • Corander, Jukka;

Springer Proceedings In Mathematics And Statistics (p. 97-109) - 1/1/2015

10.1007/978-3-319-12454-4_8 Ver en origen

  • ISSN 21941017

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

A Multi-Model Particle Filtering Algorithm for Indoor Tracking of Mobile Terminals Using RSS Data

  • Achutegui, Katrin
  • Martino, Luca
  • Rodas, Javier
  • Escudero, Carlos J.
  • Miguez, Joaquin;

Proceedings Of The Ieee Conference On Control Applications (p. 1702-+) - 1/1/2009

10.1109/cca.2009.5280960 Ver en origen

  • ISSN 10851992

Bias Correction for Distributed Bayesian Estimators

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

Proceedings Of The 6th Ieee International Workshop On Computational Advances In Multi-Sensor Adaptive Processing (Camsap) (p. 257-260) - 13/12/2015

10.1109/camsap.2015.7383784 Ver en origen

Independent Doubly Adaptive Rejection Metropolis Sampling

  • Martino L
  • Read J
  • Luengo D

Proceedings Of The 39th Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 8.048-8.052) - 4/5/2014

10.1109/icassp.2014.6855158 Ver en origen

  • ISSN 15206149

An Adaptive Population Importance Sampler

  • Martino L
  • Elvira V
  • Luengo D
  • Corander J

Proceedings Of The 39th Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 8.088-8.092) - 4/5/2014

10.1109/icassp.2014.6855166 Ver en origen

  • ISSN 15206149

Orthogonal MCMC Algorithms

  • Martino L
  • Elvira V
  • Luengo D
  • Artés-Rodríguez A
  • Corander J

Proceedings Of The 2014 Ieee Workshop On Statistical Signal Processing (Ssp) (p. 364-367) - 29/6/2014

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

10.1109/ssp.2014.6884651 Ver en origen

Automatic Emulation by Adaptive Relevance Vector Machines

  • Martino, Luca
  • Vicent, Jorge
  • Camps-Valls, Gustau;

Lecture Notes In Computer Science (p. 443-454) - 1/1/2017

10.1007/978-3-319-59126-1_37 Ver en origen

  • ISSN 03029743

Anti-tempered layered adaptive importance sampling

  • Martino L
  • Elvira V
  • Luengo D

International Conference On Digital Signal Processing, Dsp (p. 1-5) - 3/11/2017

10.1109/icdsp.2017.8096043 Ver en origen

  • ISSN 15461874

AUTOMATIC EMULATOR AND OPTIMIZED LOOK-UP TABLE GENERATION FOR RADIATIVE TRANSFER MODELS

  • Martino, Luca
  • Vicent, Jorge
  • Camps-Valls, Gustau;

Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium (p. 1457-1460) - 1/1/2017

  • ISSN 21536996
  • iMarina

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