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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

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

Optimality in noisy importance sampling

  • Llorente, Fernando
  • Martino, Luca
  • Read, Jesse
  • Delgado-Gomez, David;

SIGNAL PROCESSING (p. 1-7) - 1/5/2022

https://doi.org/10.1016/j.sigpro.2022.108455 Ver en origen

  • EISSN 1872-7557
  • ISSN 01651684

On the variety of linear recurrences and numerical semigroups

  • Martino, Ivan
  • Martino, Luca;

Semigroup Forum (p. 569-574) - 1/6/2014

10.1007/s00233-013-9551-2 Ver en origen

  • ISSN 00371912

On the safe use of prior densities for Bayesian model selection

  • Llorente, Fernando
  • Martino, Luca
  • Curbelo, Ernesto
  • Lopez-Santiago, Javier
  • Delgado, David;

Wiley Interdisciplinary Reviews: Computational Statistics (p. 1-29) - 1/1/2023

10.1002/wics.1595 Ver en origen

  • ISSN 19395108

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

Multi-label methods for prediction with sequential data

  • Read, Jesse
  • Martino, Luca
  • Hollmen, Jaakko;

Pattern Recognition (p. 45-55) - 1/3/2017

10.1016/j.patcog.2016.09.015 Ver en origen

  • ISSN 00313203

Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review

  • Llorente, F.
  • Martino, L.
  • Delgado, D.
  • Lopez-Santiago, J.;

Siam Review (p. 3-58) - 1/1/2023

10.1137/20m1310849 Ver en origen

  • ISSN 00361445
Open Access

MCMC-driven importance samplers

  • Llorente, F.
  • Curbelo, E.
  • Martino, L.
  • Elvira, V.
  • Delgado, D.;

Applied Mathematical Modelling (p. 1-22) - 1/11/2022

10.1016/j.apm.2022.06.027 Ver en origen

  • ISSN 0307-904X

Layered adaptive importance sampling

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

Statistics And Computing (p. 599-623) - 1/5/2017

10.1007/s11222-016-9642-5 Ver en origen

  • ISSN 09603174

Joint Gaussian Processes for Biophysical Parameter Retrieval

  • Heestermans Svendsen, Daniel
  • Martino, Luca
  • Campos-Taberner, Manuel
  • Javier Garcia-Haro, Francisco
  • Camps-Valls, Gustau;

Ieee Transactions On Geoscience And Remote Sensing (p. 1718-1727) - 1/3/2018

10.1109/tgrs.2017.2767205 Ver en origen

  • ISSN 01962892

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