Frequentist and Bayesian Approaches in Modeling and Prediction of Extreme Rainfall Series: A Case Study from Southern Highlands Region of Tanzania by Erick A. Kyojo, Silas S. Mirau, Sarah E. Osima, Verdiana G. Masanja

“…Three estimation methods–L-moments, maximum likelihood estimation (MLE), and Bayesian Markov chain Monte Carlo (MCMC)–were employed to estimate GEV parameters and future return levels. …”
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An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization by Shuai Wan, Shipan Li, Zheng Chen, Yunchao Tang

“…Based on 3600 ultrasonic measurement samples, an Extreme Gradient Boosting (XGBoost) model was enhanced through oversampling and hyperparameter optimization via Bayesian optimization (BO-XGBoost). The BO-XGBoost model demonstrated superior performance compared to baseline models (Random Forest, AdaBoost, and Gradient Boosting Decision Tree), achieving an overall prediction accuracy of 0.92, precision and recall of 0.90, and an AUC of 0.98. …”
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Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting by Randa Natras, Benedikt Soja, Michael Schmidt

“…In this paper, we implement and analyze several uncertainty quantification approaches for an ML‐based model to forecast Vertical Total Electron Content (VTEC) 1‐day ahead and corresponding uncertainties with 95% confidence intervals (CI): (a) Super‐Ensemble of ML‐based VTEC models (SE), (b) Gradient Tree Boosting with quantile loss function (Quantile Gradient Boosting, QGB), (c) Bayesian neural network (BNN), and (d) BNN including data uncertainty (BNN + D). …”
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Second-line systemic treatment for metastatic colorectal cancer: A systematic review and Bayesian network meta-analysis based on RCT. by Chengyu Sun, Enguo Fan, Luqiao Huang, Zhengguo Zhang

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Comparison of efficacy and safety of thrombus prevention strategies after abdominal and pelvic cancer surgery: Bayesian network based meta-analysis by Shiran Qin, Shiran Qin, Sitong Guo, Yucheng Yao, Yucheng Yao, Ying He, Dandan Xu, Dandan Xu, Henghai Su, Xiaoyu Chen, Haoru Meng

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Why PD-L1 expression varies between studies of lung cancer: results from a Bayesian meta-analysis by Preston Ngo, Wendy A. Cooper, Stephen Wade, Kwun M. Fong, Karen Canfell, Deme Karikios, Marianne Weber

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Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method by Ehsan Amirnazmiafshar, Marco Diana

Subjects: “…Bayesian best-worst method…”
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Modeling Intercity Travel Mode Choice with Data Balance Changes: A Comparative Analysis of Bayesian Logit Model and Artificial Neural Networks by Xiaowei Li, Yuting Wang, Yao Wu, Jun Chen, Jibiao Zhou

“…The standard multinomial logit (MNL) regression and Bayesian multinomial logit (BMNL) regression were compared with the radial basis function (RBF) and multilayer perceptron (MLP). …”
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Optimal dose and type of exercise improve walking velocity in adults with Parkinson’s disease: a systematic review and Bayesian network meta-analysis by Shaoqing Xie, Yuan Yuan, Junyu Wang, Ying Bai, Tao Wang, Bopeng Qiu, Yong Yang, Shu-Cheng Lin

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New Product Development in an Emerging Economy: Analysing the Role of Supplier Involvement Practices by Using Bayesian Markov Chain Monte Carlo Technique by Kanagi Kanapathy, Kok Wei Khong, Rob Dekkers

“…Further analysis using the Bayesian Markov Chain Monte Carlo algorithm, yielding a more credible and feasible differentiation, confirmed these results (even in the case of an emerging economy) and indicated that these practices have a 28% impact on variance of NPD project performance. …”
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Prevalence of advanced hepatic fibrosis and individualization of associated risk factors by Bayesian analysis in MASLD patients in French cardio-metabolic health networks. by Michel Doffoel, Frédéric Chaffraix, Archia Chahard, Dominique Gras, Odile Bonomi, Corinne Bildstein, Simona Tripon, Maude Royant, Nicolas Meyer

“…The aim of this study was to determine the prevalence of advanced hepatic fibrosis and to individualize using Bayesian analysis its associated risk factors in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) being cared for in three Alsatian cardio-metabolic health networks in the North East of France. …”
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Bayesian inverse analysis with field observation for slope failure mechanism and reliability assessment under rainfall accounting for nonstationary characteristics of soil properties by Xian Liu, Shui-Hua Jiang, Jiawei Xie, Xueyou Li

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Bayesian optimization with Gaussian-process-based active machine learning for improvement of geometric accuracy in projection multi-photon 3D printing by Jason E. Johnson, Ishat Raihan Jamil, Liang Pan, Guang Lin, Xianfan Xu

“…The proposed active learning framework uses Bayesian optimization to inform optimal experimentation in order to adaptively collect the most informative data for effective training of a Gaussian-process-regression-based machine learning model. …”
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Hybrid optimized artificial neural network using Latin hypercube sampling and Bayesian optimization for detection, classification and location of faults in transmission lines by Abdul Yussif Seidu, Elvis Twumasi, Emmanuel Assuming Frimpong

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Comparison of Three Statistical Downscaling Methods and Ensemble Downscaling Method Based on Bayesian Model Averaging in Upper Hanjiang River Basin, China by Jiaming Liu, Di Yuan, Liping Zhang, Xia Zou, Xingyuan Song

“…To improve the simulation accuracy of downscaling methods, the Bayesian Model Averaging (BMA) method combined with three statistical downscaling methods, which are support vector machine (SVM), BCC/RCG-Weather Generators (BCC/RCG-WG), and Statistics Downscaling Model (SDSM), is proposed in this study, based on the statistical relationship between the larger scale climate predictors and observed precipitation in upper Hanjiang River Basin (HRB). …”
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Comment on “Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification” by Abduallah et al. (2024) by Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid

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Effect of non-pharmacological interventions on chemotherapy induced delayed nausea and vomiting for tumors: A systematic review and Bayesian network meta-analysis by Yongni Wang, Fang Wang, Feifei Hu, Fang Long

“…Methods: Four Chinese databases (CNKI, Wanfang Data Knowledge Service Platform, VIP, Sinomed) and five English databases (PubMed, Cochrane Library, Embase, Web of Science, CINAHL) were searched from the establishment of the database to April 2024. A Bayesian network meta-analysis was performed on the response rate to the improvement of chemotherapy induced delayed nausea and vomiting, as well as improvement in KPS score, under different non-pharmacological interventions by using R 4.4.0 software and the GeMTC package. …”
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In Search of an Integrative Method to Study Unconscious Processing: An Application of Bayesian and General Recognition Theory Models to the Processing of Hierarchical Patterns in the Absence of Awareness by Antonio Prieto, Pedro R. Montoro, Mikel Jimenez, José Antonio Hinojosa

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Adaptive Bayesian Iterative Transmission Reconstruction for Attenuation Correction in Myocardial Perfusion Imaging with SPECT/Slow-Rotation Low-Output CT Systems by Ji Chen, Ernest V. Garcia, Russell D. Folks, Aharon Peretz, James R. Galt

“…This paper presents an adaptive Bayesian iterative transmission reconstruction (ABITR) algorithm for more accurate AC. …”
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Evaluating the accuracy of a nutritional screening tool for patients with digestive system tumors: A hierarchical Bayesian latent class meta-analysis. by Menghao Yang, Na Xiao, Le Tang, Yang Zhang, Yuexiu Wen, Xiuqin Yang

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