Martino, Luca luca.martino@urjc.es
Publications
- Articles 64
- Books 0
- Book chapters 1
- Conferences 43
- Working papers 1
- Technical reports 0
- Research projects 0
- Supervised theses 0
- Patent or software license 0
A Bayesian inference and model selection algorithm with an optimization scheme to infer the model noise power
- Lopez-Santiago, J.
- Martino, L.
- Vazquez, M. A.
- Miguez, J.;
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (p. 3351-3361) - 1/11/2021
https://doi.org/10.1093/mnras/stab2303 View at source
- EISSN 1365-2966
- ISSN 00358711
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data
- Berger, Katja
- Rivera Caicedo, Juan Pablo
- Martino, Luca
- Wocher, Matthias
- Hank, Tobias
- Verrelst, Jochem;
Remote Sensing (p. 1-23) - 1/1/2021
10.3390/rs13020287 View at source
- ISSN 20724292
A fast universal self-tuned sampler within Gibbs sampling
- Martino, L.
- Yang, H.
- Luengo, D.
- Kanniainen, J.
- Corander, J.;
Digital Signal Processing (p. 68-83) - 1/12/2015
10.1016/j.dsp.2015.04.005 View at source
- ISSN 10512004
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
A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers
- Martino, Luca
- Read, Jesse;
Information Fusion (p. 17-38) - 1/10/2021
10.1016/j.inffus.2021.03.002 View at source
- ISSN 15662535
A likely magnetic activity cycle for the Exoplanet Host M Dwarf GJ 3512
- Lopez-Santiago, Javier
- Martino, Luca
- Miguez, Joaquin
- Vazquez, Manuel A.;
ASTRONOMICAL JOURNAL (p. 273) - 1/12/2020
https://doi.org/10.3847/1538-3881/abc171 View at source
- ISSN 00046256
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
A review of multiple try MCMC algorithms for signal processing
- Martino, Luca;
Digital Signal Processing (p. 134-152) - 1/4/2018
10.1016/j.dsp.2018.01.004 View at source
- ISSN 10512004
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
- Arulampalam, MS
- Maskell, S
- Gordon, N
- Clapp, T;
Ieee Transactions On Signal Processing (p. 174-188) - 1/2/2002
10.1109/78.978374 View at source
- ISSN 1053587X
Active emulation of computer codes with Gaussian processes Application to remote sensing
- Heestermans Svendsen, Daniel
- Martino, Luca
- Camps-Valls, Gustau;
Pattern Recognition - 1/4/2020
10.1016/j.patcog.2019.107103 View at source
- ISSN 00313203
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
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
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
- iMarina
- 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 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.
Research groups
Researcher profiles
-
ORCID
-
Scopus Author ID