Results 1 to 10 of about 147,580 (306)
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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Bayesian inference for CoVaR [PDF]
, 2013 Recent financial disasters emphasised the need to investigate the consequence associated with the tail co-movements among institutions; episodes of contagion are frequently observed and increase the probability of large losses affecting market participants' risk capital.
BERNARDI, MAURO +2 more
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Bayesian inference with optimal maps [PDF]
Journal of Computational Physics, 2012 66 pages, 26 figures. Minor revisions and improvements throughout.
Tarek A. El-Moselhy, Youssef M. Marzouk
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Bayesian inference for dynamical systems
Infectious Disease Modelling, 2020 Bayesian inference is a common method for conducting parameter estimation for dynamical systems. Despite the prevalent use of Bayesian inference for performing parameter estimation for dynamical systems, there is a need for a formalized and detailed ...
Weston C. Roda
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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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Quantum inference on Bayesian networks [PDF]
Physical Review A, 2014 Performing exact inference on Bayesian networks is known to be #P-hard. Typically approximate inference techniques are used instead to sample from the distribution on query variables given the values $e$ of evidence variables. Classically, a single unbiased sample is obtained from a Bayesian network on $n$ variables with at most $m$ parents per node in
Low, Guang Hao +2 more
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Lévy Walk in Swarm Models Based on Bayesian and Inverse Bayesian Inference
Computational and Structural Biotechnology Journal, 2021 While swarming behavior is regarded as a critical phenomenon in phase transition and frequently shows the properties of a critical state such as Lévy walk, a general mechanism to explain the critical property in swarming behavior has not yet been found ...
Yukio-Pegio Gunji +5 more
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Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
The Journal of Engineering, 2019 Sparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is
Yanan Ma, Xianbin Cao, Xiangrong Wang
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Bayesian Inference in Numerical Cognition: A Tutorial Using JASP
Journal of Numerical Cognition, 2020 Researchers in numerical cognition rely on hypothesis testing and parameter estimation to evaluate the evidential value of data. Though there has been increased interest in Bayesian statistics as an alternative to the classical, frequentist approach to ...
Thomas J. Faulkenberry +2 more
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Stats, 2022 In this study, the estimation methods of bias-corrected maximum likelihood (BCML), bootstrap BCML (B-BCML) and Bayesian using Jeffrey’s prior distribution were proposed for the inverse Gaussian distribution with small sample cases to obtain the ML and ...
Tzong-Ru Tsai +3 more
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