Wishart random matrix based Bayesian estimation for time-varying channel in the color noise by JING Yuan, YIN Fu-liang

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Pricing Decisions on Reward-Based Crowdfunding with Bayesian Review System Facing Strategic Consumers by Yuting Chen, Rong Zhang, Bin Liu

“…This paper is designed to extend research on the optimal pricing decision with review system for the reward-based crowdfunding. Firstly, a Bayesian analysis is established to construct consumers’ belief update process in presence of review system. …”
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Forecasting geothermal temperature in western Yemen with Bayesian-optimized machine learning regression models by Abdulrahman Al-Fakih, Abbas Al-khudafi, Ardiansyah Koeshidayatullah, SanLinn Kaka, Abdelrigeeb Al-Gathe

“…Hyperparameter tuning using Bayesian optimization (BO) was selected as the optimization process to boost model accuracy and performance. …”
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Bayesian Inference of Human-Made Hazards in Networks of Island Wetlands: The Case of the Aegean Archipelago by Cleo M. Gaganis, Andreas Y. Troumbis

“…The study employs power-law modeling to validate the natural size distribution of wetlands, naïve Bayesian inference to model human impacts, and the epsilon statistic to assess wetland sensitivity to specific pressures, addressing potential sampling biases. …”
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Automated and highly parallelized Bayesian optimization scheme for direct drive fusion experiments on OMEGA by V. Gopalaswamy, A. Lees, R. Ejaz, C. A. Thomas, T. J. B. Collins, K. S. Anderson, W. Ebmeyer, R. Betti

“…Here we develop an automated and optimally parallel Bayesian optimization algorithm that can entirely optimize the target and pulse shape of a direct-drive ICF implosion under a given design paradigm. …”
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Causation Analysis of Hazardous Material Road Transportation Accidents by Bayesian Network Using Genie by Xiaoli Ma, Yingying Xing, Jian Lu

“…The two main results could be likely to obtain the following. (1) The Bayesian network model can explore the most probable factor or combination leading to the accident, which calculated the posterior probability of each risk factor. …”
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Using the Bayesian Model Averaging Approach for Genomic Selection by Considering Skewed Error Distributions by Azadeh Ghazanfari, Afshin Fayyaz Movaghar

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Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches by Mohsin Akram, Muhammad Adnan, Syed Farooq Ali, Jameel Ahmad, Amr Yousef, Tagrid Abdullah N. Alshalali, Zaffar Ahmed Shaikh

“…To solve this issue, Bayesian approximation approaches have evolved and are gaining market traction. …”
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Blast loading prediction in a typical urban environment based on Bayesian deep learning by Weiwen Peng, Meilin Pan, Chunjiang Leng, Shufei Wang, Wei Zhong

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Electromagnetic target detection model for unmanned aerial vehicle platforms based on Bayesian detection by DENG Wenjie, CHEN Song, WU Di, LIU Kaiyue, XU Ziliang, HE Runze

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Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization by Xue-Bo Jin, Hong-Xing Wang, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Jian-Lei Kong

“…First, the power load data are decomposed into components; then, the gated recurrent unit (GRU) network, with the Bayesian optimization parameters, is used as the subpredictor for each component. …”
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Sentiment Analysis Models with Bayesian Approach: A Bike Preference Application in Metropolitan Cities by Antonino Vitetta

“…In this work a model based on the Bayesian approach is specified, calibrated, and validated in the case of bike preference in some Italian metropolitan cities. …”
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Implementing Bayesian inference on a stochastic CO2-based grey-box model by Shujie Yan, Jiwei Zou, Chang Shu, Justin Berquist, Vincent Brochu, Marc Veillette, Danlin Hou, Caroline Duchaine, Liang (Grace) Zhou, Zhiqiang (John) Zhai, Liangzhu (Leon) Wang

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Retracted: A Family of Bayesian Estimators for the Two-Parametric Burr Type II Distribution by Journal of Function Spaces

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Analysis of the Impact of U.S. Trade Policy Uncertainty on China Based on Bayesian VAR Model by Huan Yan, Weiguo Xiao, Qi Deng, Sisi Xiong

“…Using a set of Chinese economic data and a Bayesian vector autoregression (BVAR) model, this study empirically analyzes the spillover effects of U.S. trade policy uncertainty on the output, consumption, investment, and net export in China. …”
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Assessing the influence of the modifiable areal unit problem on Bayesian disease mapping in Queensland, Australia. by Farzana Jahan, Shovanur Haque, James Hogg, Aiden Price, Conor Hassan, Wala Areed, Helen Thompson, Jessica Cameron, Susanna M Cramb

“…<h4>Methods</h4>To understand the impact of the MAUP in Queensland, Australia, the present study investigates inference from simulated lung cancer incidence data using the five levels of spatial aggregation defined by the Australian Statistical Geography Standard. To this end, Bayesian spatial BYM models with and without covariates were fitted.…”
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Bayesian Probabilistic Framework for Damage Identification of Steel Truss Bridges under Joint Uncertainties by Wei Zheng, Yi Yu

“…This paper is to present a new perspective for addressing uncertainties associated with truss joint configurations in damage identification based on Bayesian probabilistic model updating and model class selection. …”
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RSS Tracking Control for AVs Under Bayesian-Network-Based Intelligent Learning Scheme by Kun Zhang, Kezhen Han, Nanbin Zhao

“…This paper presents an intelligent driving control scheme for autonomous vehicles (AVs) based on a responsibility-sensitive safety (RSS) tracking control mechanism within a Bayesian network intelligent learning framework. Initially, the Bayesian evidence construction method for vehicle lane changing scenarios is studied. …”
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Nonhomogeneous Markov chains for degeneration behaviour of RC members’ durability and its Bayesian updating by Ruiqi Guo, Dengguo Li, Guoxin Chen, Yu Jin, Hui Li, Yuanpeng Zhang

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Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating by Hsin-Fu Yeh, Tsien-Ting Huang, Ya-Sin Yang, Chien-Chung Ke

“…This study explores the impact of uncertainty in SWRC parameters on unsaturated soil slope seepage and stability under rainfall conditions. Bayesian updating was initially used to update the posterior distribution of the SWRC parameters of the model and in situ soil. …”
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