Martino, Luca luca.martino@urjc.es

Publications

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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • EISSN 1872-7557
  • ISSN 01651684

This researcher has no books.

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 View at source

  • 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.;
... View more Collapse

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 View at source

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 View at source

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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • EISSN 2169-3536
  • ISSN 21693536

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 3/5/24 4:41 PM