Zobrazeno 1 - 10
of 284
pro vyhledávání: '"Llorente F"'
Publikováno v:
IEEE-ACM Transactions on Audio, Speech and Language Processing, 2022
In the last decade, soundscapes have become one of the most active topics in Acoustics, providing a holistic approach to the acoustic environment, which involves human perception and context. Soundscapes-elicited emotions are central and substantiall
Externí odkaz:
http://arxiv.org/abs/2207.12743
Publikováno v:
WIREs Computational Statistics, 2022
The application of Bayesian inference for the purpose of model selection is very popular nowadays. In this framework, models are compared through their marginal likelihoods, or their quotients, called Bayes factors. However, marginal likelihoods depe
Externí odkaz:
http://arxiv.org/abs/2206.05210
Publikováno v:
International Statistical Review. 2024
This survey gives an overview of Monte Carlo methodologies using surrogate models, for dealing with densities which are intractable, costly, and/or noisy. This type of problem can be found in numerous real-world scenarios, including stochastic optimi
Externí odkaz:
http://arxiv.org/abs/2108.00490
Publikováno v:
Mathematics. 2021; 9(7):784
We propose a novel adaptive importance sampling scheme for Bayesian inversion problems where the inference of the variables of interest and the power of the data noise is split. More specifically, we consider a Bayesian analysis for the variables of
Externí odkaz:
http://arxiv.org/abs/2107.11614
Publikováno v:
Applied Mathematical Modelling, Volume 11, Pages 310-331, 2022
Monte Carlo sampling methods are the standard procedure for approximating complicated integrals of multidimensional posterior distributions in Bayesian inference. In this work, we focus on the class of Layered Adaptive Importance Sampling (LAIS) sche
Externí odkaz:
http://arxiv.org/abs/2105.02579
Publikováno v:
Digital Signal Processing, Volume 116, 2021, 103104
Understanding systems by forward and inverse modeling is a recurrent topic of research in many domains of science and engineering. In this context, Monte Carlo methods have been widely used as powerful tools for numerical inference and optimization.
Externí odkaz:
http://arxiv.org/abs/2010.10346
Publikováno v:
IEEE Access 8 (2020) 208462-208483
Numerical integration and emulation are fundamental topics across scientific fields. We propose novel adaptive quadrature schemes based on an active learning procedure. We consider an interpolative approach for building a surrogate posterior density,
Externí odkaz:
http://arxiv.org/abs/2006.00535
Publikováno v:
In Applied Mathematical Modelling November 2022 111:310-331
Publikováno v:
In Digital Signal Processing September 2021 116
Publikováno v:
Computational Statistics; Dec2023, Vol. 38 Issue 4, p2097-2119, 23p