Showing 121 - 140 results of 1,292 for search '"Bayesian"', query time: 0.05s Refine Results
  1. 121
  2. 122
  3. 123
  4. 124
  5. 125
  6. 126

    A Bayesian Network Approach to Causation Analysis of Road Accidents Using Netica by Xin Zou, Wen Long Yue

    Published 2017-01-01
    “…Based on an overall consideration of factors affecting road safety evaluations, the Bayesian network theory based on probability risk analysis was applied to the causation analysis of road accidents. …”
    Get full text
    Article
  7. 127
  8. 128

    Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory by Chongshi Gu, Xin Cao, Bo Xu

    Published 2019-01-01
    “…In view of the uncertain characteristics of concrete dams, a stochastic inverse model is proposed in this study to solve the undetermined mechanical parameters with sequential and spatial randomness using measured displacement data and Bayesian back analysis theory. An inversion method for the mechanical parameters of concrete dams is proposed. …”
    Get full text
    Article
  9. 129
  10. 130

    Comprehensive Influence Model of Preschool Children’s Personality Development Based on the Bayesian Network by Yan Sun, Mingying He, Lizhu Yang

    Published 2014-01-01
    “…The experimental results show that it is a valuable exploration to construct the Bayesian network for comprehensively investigating the causal relationships between preschool children’s personality and related influence factors. …”
    Get full text
    Article
  11. 131

    Uncertainty Analysis of Multiple Hydrologic Models Using the Bayesian Model Averaging Method by Leihua Dong, Lihua Xiong, Kun-xia Yu

    Published 2013-01-01
    “…Since Bayesian Model Averaging (BMA) method can combine the forecasts of different models together to generate a new one which is expected to be better than any individual model’s forecast, it has been widely used in hydrology for ensemble hydrologic prediction. …”
    Get full text
    Article
  12. 132
  13. 133

    The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach by Juan Diego Febres, Fatemeh Mohamadi, Miguel. A. Mariscal, S. Herrera, Susana García-Herrero

    Published 2019-01-01
    “…Reviewing a wide range of the literature, the authors identified the most influential variables and created a model using the Bayesian networks. The variables that define the model are grouped into four factors: vehicle factor, road factor, circumstantial factor and human factor. …”
    Get full text
    Article
  14. 134
  15. 135

    The Risk Factors of Alcohol Dependence Severity Due to the Pandemic: A Bayesian Approach by Selahattin Caner, Nihan Potas, Nilüfer Koçtürk

    Published 2024-12-01
    “…In this study, in which the quantitative approach was used, the risk factors and causes (participants characteristics, coronavirus disease 2019 Anxiety Scale, alcohol use, and coping with the pandemic) of alcohol dependence severity were examined. The classical and Bayesian estimation meth- ods in linear regression were used. …”
    Get full text
    Article
  16. 136
  17. 137

    Research on Fusing Multisatellite Soil Moisture Data Based on Bayesian Model Averaging by Shan Wang, Yuexing Wang, Chi Zhang, Han Shuai, Chun-Xiang Shi

    Published 2018-01-01
    “…To improve the accuracy of SM forecasts, this study proposed the use of a Bayesian model averaging (BMA) method to integrate multisatellite SM data. …”
    Get full text
    Article
  18. 138
  19. 139

    Bayesian Estimation of Resistance Factor for Bored Piles Based on Load Test Database by Zhijun Xu, Ranran Zhang, Liang Fan, Xing Han, Fang Yuan, Mingfang Du

    Published 2020-01-01
    “…This paper employs the Bayesian method and mathematical statistics theory to put forward an estimation method for updating in situ data. …”
    Get full text
    Article
  20. 140

    Application of Improved Naive Bayesian-CNN Classification Algorithm in Sandstorm Prediction in Inner Mongolia by Li Tiancheng, Ren Qing-dao-er-ji, Qiu Ying

    Published 2019-01-01
    “…Then, we established a sandstorm prediction model based on the Naive Bayesian algorithm, which considered ground factors. …”
    Get full text
    Article