Results 21 to 30 of about 1,249,090 (302)
Energies, 2023 This paper introduces a novel techno-economic feasibility analysis of energy management utilizing the Homer software v3.14.5 environment for an independent hybrid microgrid.
Abdellah Benallal +5 more
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Frontiers in Neuroinformatics, 2018 Recent debates about the conventional traditional threshold used in the fields of neuroscience and psychology, namely P < 0.05, have spurred researchers to consider alternative ways to analyze fMRI data.
Hyemin Han, Joonsuk Park
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Bilby: A User-friendly Bayesian Inference Library for Gravitational-wave Astronomy [PDF]
Astrophysical Journal Supplement Series, 2018 Bayesian parameter estimation is fast becoming the language of gravitational-wave astronomy. It is the method by which gravitational-wave data is used to infer the sources’ astrophysical properties. We introduce a user-friendly Bayesian inference library
G. Ashton +20 more
semanticscholar +1 more source
Ciência Rural, 2021 : Although the fruit yield has a core importance in Tahiti acid lime breeding programs, other traits stand out among the quality fruit and vegetative traits as ones that still need to be improved in selection of superior genotypes.
Renan Garcia Malikouski +6 more
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Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data. [PDF]
PLoS ONE, 2017 Inferring the structure of molecular networks from time series protein or gene expression data provides valuable information about the complex biological processes of the cell.
Zahra Narimani +4 more
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From Bayesian Inference to Logical Bayesian Inference [PDF]
, 2018 Bayesian Inference (BI) uses the Bayes’ posterior whereas Logical Bayesian Inference (LBI) uses the truth function or membership function as the inference tool. LBI is proposed because BI is not compatible with the classical Bayes’ prediction and does not use logical probability and hence cannot express semantic meaning. In LBI, statistical probability
openaire +3 more sources
Bayesian statistical inference
Statistica, 2017 This work was translated into English and published in the volume: Bruno De Finetti, Induction and Probability, Biblioteca di Statistica, eds. P. Monari, D.
Bruno De Finetti
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Variational Inference: A Review for Statisticians [PDF]
arXiv.org, 2016 One of the core problems of modern statistics is to approximate difficult-to-compute probability densities. This problem is especially important in Bayesian statistics, which frames all inference about unknown quantities as a calculation involving the ...
D. Blei, A. Kucukelbir, Jon D. McAuliffe
semanticscholar +1 more source
Bayesian Inference for Acoustic Direction of Arrival Analysis Using Spherical Harmonics
Entropy, 2019 This work applies two levels of inference within a Bayesian framework to accomplish estimation of the directions of arrivals (DoAs) of sound sources. The sensing modality is a spherical microphone array based on spherical harmonics beamforming.
Ning Xiang, Christopher Landschoot
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The material-weight illusion is a Bayes-optimal percept under competing density priors [PDF]
PeerJ, 2018 The material-weight illusion (MWI) is one example in a class of weight perception illusions that seem to defy principled explanation. In this illusion, when an observer lifts two objects of the same size and mass, but that appear to be made of different ...
Megan A.K. Peters +2 more
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