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Published in 2020 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.106802
Abstract: Abstract Reliable verification and evaluation of the mechanical properties of a layered composite ensemble are critical for industrially relevant applications, however it still remains an open engineering challenge. In this study, a fast Bayesian inference…
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Keywords:
bayesian inference;
fast bayesian;
properties layered;
inference scheme ... See more keywords
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Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btw608
Abstract: Motivation: Despite RNA-seq reads provide quality scores that represent the probability of calling a correct base, these values are not probabilistically integrated in most alignment algorithms. Based on the quality scores of the reads, we…
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Keywords:
fast bayesian;
bound;
bayesian bound;
rna seq ... See more keywords
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Published in 2022 at "Physical Review Applied"
DOI: 10.1103/physrevapplied.17.024068
Abstract: T. J. Evans, W. Huang, J. Yoneda, R. Harper, T. Tanttu, K. W. Chan, F. E. Hudson, K. M. Itoh, A. Saraiva, C. H. Yang, A. S. Dzurak, and S. D. Bartlett Centre for Engineered…
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Keywords:
bayesian tomography;
tomography two;
two qubit;
fast bayesian ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3264777
Abstract: The inversion of airborne electromagnetic (AEM) data suffers from severe nonuniqueness in the solution. Bayesian inference provides the means to estimate structural uncertainty with a rich suite of statistical information. However, conventional Bayesian methods are…
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Keywords:
inversion;
bayesian inversion;
fast bayesian;
inversion airborne ... See more keywords
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Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13816
Abstract: In recent years, the study of species' occurrence has benefited from the increased availability of large-scale citizen-science data. Whilst abundance data from standardized monitoring schemes are biased towards well-studied taxa and locations, opportunistic data are…
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Keywords:
occupancy;
inference large;
fast bayesian;
bayesian inference ... See more keywords
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Published in 2021 at "Journal of the Physical Society of Japan"
DOI: 10.7566/jpsj.90.034001
Abstract: We propose a Markov chain Monte Carlo-based deconvolution method designed to estimate the number of peaks in spectral data, along with the optimal parameters of each radial basis function. Assuming...
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Keywords:
deconvolution using;
bayesian deconvolution;
fast bayesian;
simple reversible ... See more keywords