Martino, Luca luca.martino@urjc.es

Publications

Universal and automatic elbow detection for learning the effective number of components in model selection problems

  • Morgado, Eduardo
  • Martino, Luca
  • San Millan-Castillo, Roberto;

Digital Signal Processing - 15/6/2023

10.1016/j.dsp.2023.104103 View at source

  • ISSN 10512004

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 View at source

  • ISSN 09434062

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

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

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

Rethinking the Effective Sample Size

  • Elvira V
  • Martino L
  • Robert CP

INTERNATIONAL STATISTICAL REVIEW (p. 525-550) - 10/4/2022

10.1111/insr.12500 View at source

  • ISSN 03067734
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 View at source

  • ISSN 0307-904X

Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions

  • Heestermans Svendsen, Daniel
  • Piles, Maria
  • Munoz-Mari, Jordi
  • Luengo, David
  • Martino, Luca
  • Camps-Valls, Gustau;

Ieee Transactions On Geoscience And Remote Sensing - 1/1/2022

10.1109/tgrs.2021.3059550 View at source

  • ISSN 01962892

An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis

  • San Millan-Castillo, Roberto
  • Martino, Luca
  • Morgado, Eduardo
  • Llorente, Fernando;

Ieee-Acm Transactions On Audio Speech And Language Processing (p. 2460-2474) - 1/1/2022

10.1109/taslp.2022.3192664 View at source

  • ISSN 15587916

Retrieval of Physical Parameters With Deep Structured Kernel Regression

  • Camps-Valls, Gustau
  • Campos-Taberner, Manuel
  • Laparra, Valero
  • Martino, Luca
  • Munoz-Mari, Jordi;

Ieee Transactions On Geoscience And Remote Sensing - 1/1/2022

10.1109/tgrs.2022.3211554 View at source

  • ISSN 01962892

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

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

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

On sample generation and weight calculation in multiple importance sampling

  • LUENGO GARCIA, DAVID

Conference Record Of The Asilomar Conference On Signals, Systems And Computers (p. 1709-1713) - 26/2/2016

10.1109/acssc.2015.7421441 View at source

  • ISSN 10586393

A NEW STRATEGY FOR EFFECTIVE LEARNING IN POPULATION MONTE CARLO SAMPLING

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

Conference Record Of The Asilomar Conference On Signals, Systems And Computers (p. 1540-1544) - 1/1/2016

  • ISSN 10586393
  • iMarina

ALTERNATIVE EFFECTIVE SAMPLE SIZE MEASURES FOR IMPORTANCE SAMPLING

  • Martino, L.
  • Elvira, V.
  • Louzada, F.;

2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) - 1/1/2016

  • iMarina

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

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

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

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

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