Martino, Luca luca.martino@urjc.es
Actividades
- Artículos 64
- Libros 0
- Capítulos de libro 1
- Congresos 43
- Documentos de trabajo 1
- Informes técnicos 0
- Proyectos de investigación 0
- Tesis dirigidas 0
- Patentes o licencias de software 0
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 Ver en origen
- ISSN 00046256
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
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;
Applied Soft Computing (p. 69-82) - 1/7/2018
10.1016/j.asoc.2018.03.021 Ver en origen
- ISSN 15684946
Efficient Metropolis-Hastings Proposal Mechanisms for Bayesian Regression Tree Models Comment
- Mohammadi, Abdolreza
- Kaptein, Maurits;
Bayesian Analysis (p. 938-940) - 1/9/2016
- ISSN 19316690
- iMarina
Efficient Metropolis-Hastings Proposal Mechanisms for Bayesian Regression Tree Models Contributed Discussion
- Chkrebtii, Oksana A.;
Bayesian Analysis (p. 929-931) - 1/9/2016
10.1214/16-ba999h Ver en origen
- ISSN 19316690
Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels
- Martino, Luca
- Luengo, David;
Communications In Statistics-Simulation And Computation (p. 1798-1814) - 3/7/2019
10.1080/03610918.2018.1423694 Ver en origen
- ISSN 15324141
Adaptive rejection sampling with fixed number of nodes
- Martinelli, Lucas
- Smiraglia, Romina;
Communications In Statistics-Simulation And Computation (p. 655-665) - 16/3/2019
10.1080/03610918.2017.1395039 Ver en origen
- ISSN 15324141
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
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
Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals
- Rey, S
- Tenorio, V
- Rozada, S
- Martino, L
- Marques, AG
Conference Record Of The Asilomar Conference On Signals, Systems And Computers (p. 225-229) - 1/1/2019
10.1109/ieeeconf44664.2019.9048908 Ver en origen
- ISSN 10586393
EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS
- LUENGO GARCIA, DAVID
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 3457-3461) - 18/10/2013
10.1109/icassp.2013.6638300 Ver en origen
- ISSN 15206149
- iMarina
- iMarina
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 Ver en origen
- ISSN 15206149
- iMarina
- 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
- iMarina
- iMarina
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 Ver en origen
- ISSN 15206149
- iMarina
- iMarina
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 Ver en origen
- ISBN 978-1-4673-6997-8
- ISSN 15206149
MONTE CARLO LIMIT CYCLE CHARACTERIZATION
- Luengo D
- Osés D
- Martino L
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 8.043-8.047) - 1/1/2014
10.1109/icassp.2014.6855167 Ver en origen
- ISSN 15206149
- iMarina
- iMarina
FULLY ADAPTIVE GAUSSIAN MIXTURE METROPOLIS-HASTINGS ALGORITHM
- LUENGO GARCIA, DAVID
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 6148-6152) - 18/10/2013
10.1109/icassp.2013.6638846 Ver en origen
- ISSN 15206149
- iMarina
- iMarina
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 Ver en origen
- iMarina
- iMarina
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 Ver en origen
- 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 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.
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