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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

A Bayesian inference and model selection algorithm with an optimization scheme to infer the model noise power

  • Lopez-Santiago, J.
  • Martino, L.
  • Vazquez, M. A.
  • Miguez, J.;

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (p. 3351-3361) - 1/11/2021

https://doi.org/10.1093/mnras/stab2303 Ver en origen

  • EISSN 1365-2966
  • ISSN 00358711

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

  • Berger, Katja
  • Rivera Caicedo, Juan Pablo
  • Martino, Luca
  • Wocher, Matthias
  • Hank, Tobias
  • Verrelst, Jochem;

Remote Sensing (p. 1-23) - 1/1/2021

10.3390/rs13020287 Ver en origen

  • ISSN 20724292

A fast universal self-tuned sampler within Gibbs sampling

  • Martino, L.
  • Yang, H.
  • Luengo, D.
  • Kanniainen, J.
  • Corander, J.;

Digital Signal Processing (p. 68-83) - 1/12/2015

10.1016/j.dsp.2015.04.005 Ver en origen

  • ISSN 10512004
Open Access

A generalization of the adaptive rejection sampling algorithm

  • Martino, Luca
  • Miguez, Joaquin;

STATISTICS AND COMPUTING (p. 633-647) - 1/10/2011

https://doi.org/10.1007/s11222-010-9197-9 Ver en origen

  • EISSN 1573-1375
  • ISSN 09603174

A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers

  • Martino, Luca
  • Read, Jesse;

Information Fusion (p. 17-38) - 1/10/2021

10.1016/j.inffus.2021.03.002 Ver en origen

  • ISSN 15662535
Open Access

A likely magnetic activity cycle for the Exoplanet Host M Dwarf GJ 3512

  • Lopez-Santiago, Javier
  • Martino, Luca
  • Miguez, Joaquin
  • Vazquez, Manuel A.;

ASTRONOMICAL JOURNAL (p. 273) - 1/12/2020

https://doi.org/10.3847/1538-3881/abc171 Ver en origen

  • ISSN 00046256

A multi-point Metropolis scheme with generic weight functions

  • Martino, Luca
  • Pascual Del Olmo, Victor
  • Read, Jesse;

Statistics & Probability Letters (p. 1445-1453) - 1/7/2012

10.1016/j.spl.2012.04.008 Ver en origen

  • ISSN 01677152

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

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

  • Arulampalam, MS
  • Maskell, S
  • Gordon, N
  • Clapp, T;

Ieee Transactions On Signal Processing (p. 174-188) - 1/2/2002

10.1109/78.978374 Ver en origen

  • ISSN 1053587X

Active emulation of computer codes with Gaussian processes Application to remote sensing

  • Heestermans Svendsen, Daniel
  • Martino, Luca
  • Camps-Valls, Gustau;

Pattern Recognition - 1/4/2020

10.1016/j.patcog.2019.107103 Ver en origen

  • ISSN 00313203

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

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

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

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

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