The data shown for the Universidad Carlos III de Madrid are partial, as they are intended to answer 2 questions:
- Who is researching a specific topic?
- What is an expert, group or particular department researching?
The search results will adhere to the following limits: active Researchers at Carlos III University of Madrid, Projects since 2006 and Publications, Theses, Patents and Software since 2008.
Curbelo Benitez, Ernesto Angel ecurbelo@est-econ.uc3m.es
Publications
- Articles 8
- Books 0
- Book chapters 0
- Conferences 1
- Working papers 1
- Technical reports 0
- Research projects 1
- Supervised theses 0
- Patent or software license 0
Neural lasso: a unifying approach of lasso and neural networks
- Curbelo Benitez, Ernesto Angel
- Delgado Gomez, David
- Carreras Garcia, Danae
International Journal of Data Science and Analytics (p. 1485-1495) - 8/2025
https://doi.org/10.1007/s41060-024-00546-5 View at source
- ISSN 2364-415X
Corrigendum to "pyLAIS: A Python package for Layered Adaptive Importance Sampling" [SoftwareX 29 (2025), 101976]
- Curbelo Benitez, Ernesto Angel
- Martino, Luca
- Delgado Gomez, David
SoftwareX - 2/2025
https://doi.org/10.1016/j.softx.2024.102025 View at source
- ISSN 2352-7110
pyLAIS: A Python package for Layered Adaptive Importance Sampling
- Curbelo Benitez, Ernesto Angel
- Martino, Luca
- Delgado Gomez, David
SoftwareX (p. 1-10) - 2/2025
https://doi.org/10.1016/j.softx.2024.101976 View at source
- ISSN 2352-7110
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals
- Curbelo Benitez, Ernesto Angel
- Martino, Luca
- Llorente, F.
- Delgado Gomez, David
Journal of the Franklin Institute (p. 1-27) - 1/2025
https://doi.org/10.1016/j.jfranklin.2024.107441 View at source
- ISSN 00160032 (ISSN)
Second-Moment/Order Approximations by Kernel Smoothers with Application to Volatility Estimation
- Beleña, León
- Curbelo Benitez, Ernesto Angel
- Martino, Luca
- Laparra, Valero
Mathematics (p. 1-15) - 5/2024
https://doi.org/10.3390/math12091406 View at source
- ISSN 2227-7390
On the safe use of prior densities for Bayesian model selection
- Llorente Fernandez, Fernando
- Martino, Luca
- Curbelo Benitez, Ernesto Angel
- López Santiago, Javier
- Delgado Gomez, David
Wiley Interdisciplinary Reviews: Computational Statistics (p. 1-29) - 1/1/2023
10.1002/wics.1595 View at source
- ISSN 19395108
MCMC-driven importance samplers
- Llorente Fernandez, Fernando
- Curbelo Benitez, Ernesto Angel
- Martino, Luca
- Elvira Arregui, Victor
- Delgado Gomez, David
Applied Mathematical Modelling (p. 1-22) - 1/11/2022
10.1016/j.apm.2022.06.027 View at source
- EISSN 1872-8480
- ISSN 0307-904X
Automatic tempered posterior distributions for bayesian inversion problems
- Martino, Luca
- Llorente Fernandez, Fernando
- Curbelo Benitez, Ernesto Angel
- López Santiago, Javier
- Miguez Arenas, Joaquin
Mathematics (p. 784) - 1/4/2021
https://doi.org/10.3390/math9070784 View at source
- ISSN 22277390
This researcher has no books.
This researcher has no book chapters.
Safe importance sampling based on partial posteriors and neural variational approximations
- Llorente Fernandez, Fernando
- Curbelo Benitez, Ernesto Angel
- Martino, Luca
- Olmos, Pablo
- Delgado Gomez, David
30th European Signal Processing Conference (EUSIPCO) (p. 2021-2025) - 2022
Editor: IEEE INSTITUTE OF ELECTRICAL
https://doi.org/10.23919/eusipco55093.2022.9909576 View at source
- ISBN 978-90-827970-9-1
Adaptive posterior distributions for covariance matrix learning in Bayesian inversion problems for multioutput signals
- Curbelo Benitez, Ernesto Angel
- Martino, Luca
- Llorente Fernandez, Fernando
- Delgado Gomez, David
2023
Editor: UNIVERSIDAD CARLOS III DE MADRID
This researcher has no technical reports.
N629092412095 - GANESHA - "Uncertainty propagation methods for collision avoidance in autonomous navigation"
- López Santiago, Javier
- Curbelo Benitez, Ernesto Angel
Period: 01-08-2024 - 31-07-2027
Type of funding: International
Funding entity: OFFICE OF NAVAL RESEARCH GLOBAL
This researcher has no supervised thesis.
This researcher has no patents or software licenses.
Researcher profiles
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ORCID
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Scopus Author ID

