Showing 221 - 240 results of 1,292 for search '"Bayesian"', query time: 0.05s Refine Results
  1. 221

    Application of the Bayesian Model Averaging in Analyzing Freeway Traffic Incident Clearance Time for Emergency Management by Yajie Zou, Bo Lin, Xiaoxue Yang, Lingtao Wu, Malik Muneeb Abid, Jinjun Tang

    Published 2021-01-01
    “…This paper proposes a Bayesian Model Averaging (BMA) model to account for model uncertainty by averaging all plausible models using posterior probability as the weight. …”
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    Article
  2. 222

    A hierarchical Bayesian approach to assess the impact of environmental factors on soybean yield and yield components by Nur Habibi Luthfan, Matsui Tsutomu, Tanaka Takashi S.T.

    Published 2025-01-01
    “…A hierarchical Bayesian approach offers a natural mechanism of the eco-biological system through a multi-level model. …”
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    Article
  3. 223
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    Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification by Yasser Abduallah, Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing

    Published 2024-02-01
    “…SYMHnet takes, as input, the time series of the parameters' values provided by NASA's Space Science Data Coordinated Archive and predicts, as output, the SYM‐H index value at time point t + w hours for a given time point t where w is 1 or 2. By incorporating Bayesian inference into the learning framework, SYMHnet can quantify both aleatoric (data) uncertainty and epistemic (model) uncertainty when predicting future SYM‐H indices. …”
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    Article
  5. 225

    Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory by Yongfeng Ma, Wenbo Zhang, Jian Lu, Li Yuan

    Published 2014-01-01
    “…To enhance the efficiency of case retrieval, which was an important procedure, Bayesian Theory was introduced. To measure the performance of the proposed method, 23 traffic incidents caused by traffic crashes were selected and three indicators, Precision P, Recall R, and Indicator F, were used. …”
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  6. 226

    Bayesian optimization-driven enhancement of the thermoelectric properties of polycrystalline III-V semiconductor thin films by Takamitsu Ishiyama, Koki Nozawa, Takeshi Nishida, Takashi Suemasu, Kaoru Toko

    Published 2024-03-01
    “…These findings not only promote the development of thermoelectric devices based on III–V semiconductors but also highlight the effectiveness of using Bayesian optimization for multicomponent materials.…”
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  7. 227

    Array amplitude-phase and mutual coupling error joint correction method based on sparse Bayesian by Ding WANG, Weigang GAO, Zhidong WU

    Published 2022-09-01
    “…In the actual array direction finding system, there are often a variety of errors such as amplitude and phase, mutual coupling, which lead to serious deterioration of array direction finding performance.In order to solve the problem of array direction finding misalignment in the presence of low signal-to-noise ratio, small snapshots and multiple errors, the spatial sparsity of signals were introduced, and Bayesian sparse reconstruction technology was used to solve the passive correction and joint estimation of array signal azimuth in the presence of amplitude-phase and mutual coupling errors.The over-complete model of the received signal with error was constructed, and the posterior probability density function of the received signal was obtained.The EM algorithm was used to iteratively optimize the probability density function to solve the corresponding parameters.At the same time, the CRLB of array error and signal azimuth was derived, and by experimental simulation verifies the effectiveness of the proposed method.…”
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  8. 228

    A Bayesian Compressive Sensing Vehicular Location Method Based on Three-Dimensional Radio Frequency by Yunpeng Wang, Xuting Duan, Daxin Tian, Jianshan Zhou, Yingrong Lu, Guangquan Lu

    Published 2014-06-01
    “…With the goal of providing an efficient and reliable estimation of vehicular position in general traffic scenarios, we propose a hybrid TOA/DOA positioning method based on Bayesian compressive sensing (BCS), which benefits from the realization of vehicle-to-roadside wireless interaction with the dedicated short range communication. …”
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    Creating simple predictive models in ecology, conservation and environmental policy based on Bayesian belief networks. by Victoria Dominguez Almela, Abigail R Croker, Richard Stafford

    Published 2024-01-01
    “…This paper provides a theoretical background to the models, which are modified Bayesian belief networks (BBNs), and an overview of how the package can be used. …”
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    Semiadaptive Fault Diagnosis via Variational Bayesian Mixture Factor Analysis with Application to Wastewater Treatment by Hongjun Xiao, Yiqi Liu, Daoping Huang

    Published 2016-01-01
    “…In this work, we present the design of a semiadaptive fault diagnosis method based on the variational Bayesian mixture factor analysis (VBMFA) to support process monitoring. …”
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    Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID-19 Data by Rashad M. EL-Sagheer, Mohamed S. Eliwa, Khaled M. Alqahtani, Mahmoud EL-Morshedy

    Published 2022-01-01
    “…Besides, two parametric bootstraps are implemented to construct the approximate confidence intervals for the unknown parameters. In Bayesian framework, the Bayes estimates of the unknown parameters are evaluated by applying the Markov chain Monte Carlo technique, and highest posterior density credible intervals are also carried out. …”
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