Martino, Luca luca.martino@urjc.es

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

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

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

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

Parallel Metropolis-Hastings Coupler

  • Llorente, Fernando
  • Martino, Luca
  • Delgado, David;

IEEE SIGNAL PROCESSING LETTERS (p. 953-957) - 1/6/2019

10.1109/lsp.2019.2913470 Ver en origen

  • EISSN 1558-2361
  • ISSN 10709908

Parsimonious adaptive rejection sampling

  • Martino, L.;

Electronics Letters (p. 1115-1116) - 3/8/2017

10.1049/el.2017.1711 Ver en origen

  • ISSN 00135194

Physics-aware Gaussian processes in remote sensing

  • Camps-Valls, Gustau
  • Martino, Luca
  • Svendsen, Daniel H.
  • Campos-Taberner, Manuel
  • Munoz-Mari, Jordi
  • Laparra, Valero
  • Luengo, David
  • Javier Garcia-Haro, Francisco;
... Ver más Contraer

Applied Soft Computing (p. 69-82) - 1/7/2018

10.1016/j.asoc.2018.03.021 Ver en origen

  • ISSN 15684946

Probabilistic regressor chains with Monte Carlo methods

  • Read, Jesse
  • Martino, Luca;

Neurocomputing (p. 471-486) - 6/11/2020

10.1016/j.neucom.2020.05.024 Ver en origen

  • ISSN 09252312

Rethinking the Effective Sample Size

  • Elvira V
  • Martino L
  • Robert CP

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

10.1111/insr.12500 Ver en origen

  • ISSN 03067734

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 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

A Comparison of Clipping Strategies for Importance Sampling

  • Martino, L.
  • Elvira, V
  • Miguez, J.
  • Artes-Rodriguez, A.
  • Djuric, P. M.;

2018 IEEE Statistical Signal Processing Workshop, SSP 2018 (p. 558-562) - 1/1/2018

Editor: IEEE Computer Society.

https://doi.org/10.1109/ssp.2018.8450722 Ver en origen

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 Ver en origen

  • ISSN 10851992

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

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 Ver en origen

  • ISSN 15206149

A REJECTION SAMPLING SCHEME FOR POSTERIOR PROBABILITY DISTRIBUTIONS VIA THE RATIO-OF-UNIFORMS METHOD

  • Martino, Luca
  • Miguez, Joaquin;

28th European Signal Processing Conference (Eusipco 2020) (p. 174-178) - 1/1/2010

  • ISSN 20761465
  • 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 Ver en origen

  • ISSN 15206149

ADAPTIVE SEQUENTIAL INTERPOLATOR USING ACTIVE LEARNING FOR EFFICIENT EMULATION OF COMPLEX SYSTEMS

  • Martino, L
  • Svendsen, DH
  • Vicent, J
  • Camps-Valls, G

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 3577-3581) - 1/1/2020

10.1109/icassp40776.2020.9053372 Ver en origen

  • ISSN 15206149

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

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 Ver en origen

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

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