Showing 21 - 40 results of 1,292 for search '"Bayesian"', query time: 0.05s Refine Results
  1. 21

    Bayesian Estimation of Ammunition Demand Based on Multinomial Distribution by Kang Li, Xian-ming Shi, Juan Li, Mei Zhao, Chunhua Zeng

    Published 2021-01-01
    “…In view of the small sample size of combat ammunition trial data and the difficulty of forecasting the demand for combat ammunition, a Bayesian inference method based on multinomial distribution is proposed. …”
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    Bayesian modeling of binomial experiments in sociology: problem analysis by A. A. Zvonok

    Published 2024-04-01
    Subjects: “…bayesian analysis…”
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  5. 25

    Application of Bayesian Optimization in Gripper Design for Effective Grasping by Marco Todescato, Dominik T. Matt, Andrea Giusti

    Published 2025-01-01
    “…We then formally cast the problem of finding the best gripper parametrization within a probabilistic framework, addressing it using Bayesian Optimization tools. Numerical results on a set of industrial objects demonstrate the effectiveness of the approach showing up to <inline-formula> <tex-math notation="LaTeX">$\approx 300 \%$ </tex-math></inline-formula> improvement compared to the performance obtained using a fixed set of grippers.…”
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  6. 26

    Recent advances in Bayesian inference of isolation-with-migration models by Yujin Chung

    Published 2019-11-01
    Subjects: “…bayesian analysis…”
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    Bayesian Analysis for a Fractional Population Growth Model by Francisco J. Ariza-Hernandez, Jorge Sanchez-Ortiz, Martin P. Arciga-Alejandre, Luis X. Vivas-Cruz

    Published 2017-01-01
    “…We implement the Bayesian statistical inversion theory to obtain the solution for an inverse problem of growth data, using a fractional population growth model. …”
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    Analysis of the Behrens-Fisher Problem Based on Bayesian Evidence by Yuliang Yin, Baoren Li

    Published 2014-01-01
    “…In this paper, we propose a new method for dealing with the Behrens-Fisher problem in the Bayesian framework. The Bayesian evidence for testing the equality of two normal means and a credible interval at a specified level for the difference between the means are derived. …”
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  10. 30

    Predicting waste generation using Bayesian model averaging by M.G. Hoang, T. Fujiwara, S.T. Pham Phu, K.T. Nguyen Thi

    Published 2017-12-01
    Subjects: “…Bayesian Model Averaging (BMA)…”
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    Bayesian Approach to Equipartition Estimation of Magnetic Field Strength by Adam A. Zychowicz, Krzysztof T. Chyży

    Published 2025-01-01
    “…We present a new approach for calculating the equipartition magnetic field strength based on Bayesian methods. In this approach, the magnetic field is a random variable that is distributed according to a posterior distribution conditional on synchrotron emission and the size of the emitting region. …”
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    Bayesian Nonparametric Modeling for Rapid Design of Metamaterial Microstructures by Bin Liu, Chunlin Ji

    Published 2014-01-01
    “…We consider the problem of rapid design of massive metamaterial (MTM) microstructures from a statistical point of view. A Bayesian nonparametric model, namely, Gaussian Process (GP) mixture, is developed to generate the mapping relationship from the microstructure’s geometric dimension to the electromagnetic response, which is approximately expressed in a closed form of Drude-Lorentz type model. …”
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    Bayesian joint-regression analysis of unbalanced series of on-farm trials by Turbet Delof, Michel, Rivière, Pierre, Dawson, Julie C, Gauffreteau, Arnaud, Goldringer, Isabelle, van Frank, Gaëlle, David, Olivier

    Published 2025-01-01
    “…To explore methods of overcoming these challenges, this article tests various data analysis scenarios using a Bayesian approach with different models and a real wheat PPB dataset over 11 years. …”
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    THz-SAR Vibrating Target Imaging via the Bayesian Method by Bin Deng, Xin-yun Wang, Cheng-guang Wu, Yu-liang Qin, Hong-qiang Wang

    Published 2017-01-01
    “…An improved algorithm based on an excellent Bayesian approach, that is, the expansion-compression variance-component (ExCoV) method, has been proposed for reconstructing scattering coefficients of vibrating targets, which provides more robust and efficient initialization and overcomes the deficiencies of sidelobes as well as artifacts arising from the traditional correlation method. …”
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