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

A Multi-Model Particle Filtering Algorithm for Indoor Tracking of Mobile Terminals Using RSS Data

  • Achutegui, Katrin
  • Martino, Luca
  • Rodas, Javier
  • Escudero, Carlos J.
  • Miguez, Joaquin;

Proceedings Of The Ieee Conference On Control Applications (p. 1702-+) - 1/1/2009

10.1109/cca.2009.5280960 View at source

  • ISSN 10851992

AN ADAPTIVE ACCEPT/REJECT SAMPLING ALGORITHM FOR POSTERIOR PROBABILITY DISTRIBUTIONS

  • Martino, Luca
  • Miguez, Joaquin;

2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2 (p. 45-48) - 1/1/2009

10.1109/ssp.2009.5278644 View at source

A NOVEL REJECTION SAMPLING SCHEME FOR POSTERIOR PROBABILITY DISTRIBUTIONS

  • Martino, Luca
  • Miguez, Joaquin;

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 2921-2924) - 1/1/2009

10.1109/icassp.2009.4960235 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