Results 31 to 40 of about 2,810,332 (372)
Genetic analysis of rare disorders: Bayesian estimation of twin concordance rates [PDF]
, 2012 Twin concordance rates provide insight into the possibility of a genetic background for a disease. These concordance rates are usually estimated within a frequentistic framework. Here we take a Bayesian approach.
Berg, S.M. van den, Hjelmborg, J.
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Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon [PDF]
IEEE/CAA Journal of Automatica Sinica, 2017 This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State estimation for nonlinear systems has been a challenge encountered in a wide range of engineering fields, attracting decades of research effort.
H. Fang +4 more
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AIMS Mathematics, 2023 In this paper, we investigate classical and Bayesian estimation of stress-strength reliability $\delta = P(X > Y)$ under an adaptive progressive type-Ⅱ censored sample.
Xue Hu, Haiping Ren
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Nonparametric Bayesian Volatility Estimation [PDF]
SSRN Electronic Journal, 2018 Given discrete time observations over a fixed time interval, we study a nonparametric Bayesian approach to estimation of the volatility coefficient of a stochastic differential equation. We postulate a histogram-type prior on the volatility with piecewise constant realisations on bins forming a partition of the time interval. The values on the bins are
Gugushvili, S. +3 more
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Efficient Bayesian Phase Estimation [PDF]
Physical Review Letters, 2016 We provide a new efficient adaptive algorithm for performing phase estimation that does not require that the user infer the bits of the eigenphase in reverse order; rather it directly infers the phase and estimates the uncertainty in the phase directly from experimental data.
Wiebe, Nathan, Granade, Christopher E
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Mathematics, 2020 In this work, we propose and study a new family of discrete distributions. Many useful mathematical properties, such as ordinary moments, moment generating function, cumulant generating function, probability generating function, central moment, and ...
Mohamed Aboraya +3 more
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Bayesian Direction of Arrival Estimation with Prior Knowledge from Target Tracker
Remote Sensing, 2023 The performance of traditional direction of arrival (DOA) estimation methods always deteriorates at a low signal-to-noise ratio (SNR) or without sufficient observations.
Tianyi Jia +3 more
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Bayesian nonparametric subspace estimation [PDF]
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 Principal component analysis is a widely used technique to perform dimension reduction. However, selecting a finite number of significant components is essential and remains a crucial issue. Only few attempts have proposed a probabilistic approach to adaptively select this number. This paper introduces a Bayesian nonparametric model to jointly estimate
Elvira, Clément +2 more
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Bayesian Estimation of Human Impedance and Motion Intention for Human–Robot Collaboration
IEEE Transactions on Cybernetics, 2019 This article proposes a Bayesian method to acquire the estimation of human impedance and motion intention in a human–robot collaborative task. Combining with the prior knowledge of human stiffness, estimated stiffness obeying Gaussian distribution is ...
Xinbo Yu +6 more
semanticscholar +1 more source
Alexandria Engineering Journal, 2022 In this work, we develop a General Entropy loss function (GE) to estimate the reliability function of the Weibull distribution based on complete data. We do this by merging a weight into GE to produce a new loss function called weighted General Entropy ...
Fuad S. Al-Duais
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