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
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
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
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 View at source
- 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 View at source
- 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 View at source
- ISSN 15206149
- iMarina
- iMarina
On sample generation and weight calculation in multiple importance sampling
- LUENGO GARCIA, DAVID
Conference Record Of The Asilomar Conference On Signals, Systems And Computers (p. 1709-1713) - 26/2/2016
10.1109/acssc.2015.7421441 View at source
- ISSN 10586393
- iMarina
- iMarina
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
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
WEIGHTING A RESAMPLED PARTICLE IN SEQUENTIAL MONTE CARLO
- Martino, L.
- Elvira, V.
- Louzada, F.;
2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) - 1/1/2016
- 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 View at source
- 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 View at source
- ISBN 978-1-4673-6997-8
- ISSN 15206149
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 View at source
- ISSN 15206149
- 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.
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