Martino, Luca luca.martino@urjc.es

Actividades

Open Access

Improving the Teaching of Hypothesis Testing Using a Divide-and-Conquer Strategy and Content Exposure Control in a Gamified Environment

  • Delgado-Gomez, David
  • Gonzalez-Landero, Franks
  • Montes-Botella, Carlos
  • Sujar, Aaron
  • Bayona, Sofia
  • Martino, Luca;

Mathematics (p. 2244) - 1/12/2020

https://doi.org/10.3390/math8122244 Ver en origen

  • ISSN 22277390

Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling

  • Martino, Luca
  • Read, Jesse
  • Luengo, David;

Ieee Transactions On Signal Processing (p. 3123-3138) - 15/6/2015

10.1109/tsp.2015.2420537 Ver en origen

  • ISSN 1053587X

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 Ver en origen

  • ISSN 01962892

Issues in the Multiple Try Metropolis mixing

  • Martino, L.
  • Louzada, F.;

Computational Statistics (p. 239-252) - 1/3/2017

10.1007/s00180-016-0643-9 Ver en origen

  • ISSN 09434062

Joint Gaussian Processes for Biophysical Parameter Retrieval

  • Heestermans Svendsen, Daniel
  • Martino, Luca
  • Campos-Taberner, Manuel
  • Javier Garcia-Haro, Francisco
  • Camps-Valls, Gustau;

Ieee Transactions On Geoscience And Remote Sensing (p. 1718-1727) - 1/3/2018

10.1109/tgrs.2017.2767205 Ver en origen

  • ISSN 01962892

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
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 Ver en origen

  • ISSN 0307-904X

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

Multi-label methods for prediction with sequential data

  • Read, Jesse
  • Martino, Luca
  • Hollmen, Jaakko;

Pattern Recognition (p. 45-55) - 1/3/2017

10.1016/j.patcog.2016.09.015 Ver en origen

  • ISSN 00313203

On the flexibility of the design of multiple try Metropolis schemes

  • Martino, Luca
  • Read, Jesse;

Computational Statistics (p. 2797-2823) - 1/12/2013

10.1007/s00180-013-0429-2 Ver en origen

  • ISSN 09434062

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