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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

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

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

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

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

Improving population Monte Carlo: Alternative weighting and resampling schemes

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

Signal Processing (p. 77-91) - 1/2/2017

10.1016/j.sigpro.2016.07.012 Ver en origen

  • ISSN 01651684

Effective sample size for importance sampling based on discrepancy measures

  • Martino, Luca
  • Elvira, Victor
  • Louzada, Francisco;

Signal Processing (p. 386-401) - 1/2/2017

10.1016/j.sigpro.2016.08.025 Ver en origen

  • ISSN 01651684

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

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
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

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

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

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

JOINT GAUSSIAN PROCESSES FOR INVERSE MODELING

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

Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium (p. 3980-3983) - 1/1/2017

  • ISSN 21536996
  • iMarina

INTERPOLATION AND GAP FILLING OF LANDSAT REFLECTANCE TIME SERIES

  • Moreno-Martinez, Alvaro
  • Maneta, Marco
  • Camps-Valls, Gustau
  • Martino, Luca
  • Robinson, Nathaniel
  • Allred, Brady
  • Running, Steven W.;
... Ver más Contraer

Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium (p. 349-352) - 1/1/2018

  • ISSN 21536996
  • iMarina

Multiple importance sampling with overlapping sets of proposals

  • Víctor Elvira
  • Mónica Bugallo
  • Luca Martino
  • LUENGO GARCIA, DAVID

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

10.1109/ssp.2016.7551744 Ver en origen

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

Efficient linear combination of partial Monte Carlo estimators

  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 4100-4104) - 4/8/2015

10.1109/icassp.2015.7178742 Ver en origen

  • ISSN 15206149

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

A gradient adaptive population importance sampler

  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 4075-4079) - 4/8/2015

10.1109/icassp.2015.7178737 Ver en origen

  • ISSN 15206149

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

MONTE CARLO LIMIT CYCLE CHARACTERIZATION

  • Luengo D
  • Osés D
  • Martino L

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 8.043-8.047) - 1/1/2014

10.1109/icassp.2014.6855167 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