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Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7972
Abstract: In this paper, we develop a method for the simultaneous estimation of spectral density functions (SDFs) for a collection of stationary time series that share some common features. Due to the similarities among the SDFs,…
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Keywords:
brain signals;
estimation;
basis;
spectral density ... See more keywords
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Published in 2017 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-016-1257-z
Abstract: We introduce a density regression model for the spectral density of a bivariate extreme value distribution, that allows us to assess how extremal dependence can change over a covariate. Inference is performed through a double…
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Keywords:
regression bivariate;
spectral density;
density regression;
density ... See more keywords
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Published in 2020 at "Statistics and Computing"
DOI: 10.1007/s11222-019-09909-6
Abstract: Approximate Bayesian computation (ABC) has become one of the major tools of likelihood-free statistical inference in complex mathematical models. Simultaneously, stochastic differential equations (SDEs) have developed to an established tool for modelling time-dependent, real-world phenomena…
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Keywords:
measure preserving;
preserving abc;
measure;
based measure ... See more keywords
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Published in 2019 at "Indian Journal of Physics"
DOI: 10.1007/s12648-019-01485-9
Abstract: AbstractThis paper explores an analysis of low- and high-frequency noise in a heterojunction, selective buried oxide (SELBOX) with high-k gate dielectric TFET. The electrical parameters for different doping concentrations, δp+ layer width and mole fractions…
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Keywords:
spectral density;
selbox;
noise behaviour;
si1 xgex ... See more keywords
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Published in 2018 at "International Journal of Mechanical Sciences"
DOI: 10.1016/j.ijmecsci.2018.09.018
Abstract: Abstract A broader range of analytical tools can enhance understanding of the unusual mechanical properties of metamaterials and other advanced material systems. Here, we discuss a mechanics analogue of the Parseval's energy theorem that leads…
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Keywords:
energy;
strain energy;
density;
deformation ... See more keywords
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Published in 2017 at "Progress in Nuclear Energy"
DOI: 10.1016/j.pnucene.2017.03.019
Abstract: Abstract Power spectral density (PSD) methods are well-known and widely used for the analysis of neutron noise experiments and obtaining the reactor's integral kinetic parameters, i.e., the effective delayed neutron fraction βeff and the prompt…
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Keywords:
kinetic parameters;
power;
sensitivity;
numerical parameters ... See more keywords
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Published in 2020 at "Probabilistic Engineering Mechanics"
DOI: 10.1016/j.probengmech.2020.103023
Abstract: Abstract A computationally efficient method for determining the response of non-linear stochastic dynamic systems endowed with fractional derivative elements subject to stochastic excitation is presented. The method relies on a spectral representation both for the…
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Keywords:
response;
non linear;
endowed fractional;
systems endowed ... See more keywords
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Published in 2019 at "Soil Dynamics and Earthquake Engineering"
DOI: 10.1016/j.soildyn.2018.12.001
Abstract: Abstract This paper explores the possibility of a new parametric representation of auto-spectral density (ASD) that enables extraction of several meaningful insights. Recorded translational ground motions are considered first and the resulting parametric model is…
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Keywords:
ground;
spectral density;
auto spectral;
ground motions ... See more keywords
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Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.04.043
Abstract: Abstract An approach to minimize error due to synchronicity faults in stochastic system identification is presented. The scheme is based on shifting the time domain signals so the phases of the fundamental eigenvector estimated from…
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Keywords:
analytical minimization;
synchronicity errors;
synchronicity;
minimization synchronicity ... See more keywords
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Published in 2022 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2021.108782
Abstract: This study presents a Bayesian spectral density approach for identification and uncertainty quantification of flutter derivatives of bridge sections utilizing buffeting displacement responses, where thewind tunnel test is conducted in turbulent flow. Different from traditional…
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Keywords:
spectral density;
bayesian spectral;
approach;
flutter derivatives ... See more keywords
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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-91163-w
Abstract: Electron–boson spectral density functions (EBSDFs) can be obtained from measured spectra using various spectroscopic techniques, including optical spectroscopy. EBSDFs, known as glue functions, are suggested to have a magnetic origin. Here, we investigated EBSDFs obtained…
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Keywords:
coherence;
hole doped;
doped cuprates;
boson spectral ... See more keywords