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

Subjects: “…Bayesian Model Averaging (BMA)…”
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Comparison of the Frequentist MATA Confidence Interval with Bayesian Model-Averaged Confidence Intervals by Daniel Turek

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

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

“…To improve the accuracy of SM forecasts, this study proposed the use of a Bayesian model averaging (BMA) method to integrate multisatellite SM data. …”
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Using the Bayesian Model Averaging Approach for Genomic Selection by Considering Skewed Error Distributions by Azadeh Ghazanfari, Afshin Fayyaz Movaghar

“…In this study, we use the Bayesian model averaging (BMA) method for genomic selection by considering the skewed error distributions. …”
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Multi-model Evaluation and Bayesian Model Averaging in Quantitative Air Quality Forecasting in Central China by Haixia Qi, Shuangliang Ma, Jing Chen, Junping Sun, Lingling Wang, Nan Wang, Weisi Wang, Xiefei Zhi, Hao Yang

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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

“…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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On Determinants of Exchange Market Pressure in Turkey: The Role of Model Uncertainty by Gülden Poyraz, Ahmet İncekara

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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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Cross-Border Travel Behavior Analysis of Hong Kong-Zhuhai-Macao Bridge Using MXL-BMA Model by Yajie Zou, Wanbing Han, Bo Lin, Bing Wu, Linbo Li, Shubo Wu, Malik Muneeb Abid

“…Therefore, a Bayesian model averaging (BMA) approach is applied to model travel mode choice behavior considering using revealed preference/stated preference (RP/SP) fusion data collected by questionnaires online. …”
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Efficiency Measurement and Determinant Factors of Marine Economy in China: Based on the Belt and Road Perspective by Yinyin Wang, Conghua Xue, Huimin Li, Kaizhi Yu

“…The influencing factors of efficiency are analyzed using the Bayesian model averaging (BMA) method based on the indicator system constructed on the relationship between the Belt and Road and marine economic efficiency. …”
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Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager by Gen Wang, Kefu Wang, Wei Han, Dongyong Wang, Xuexing Qiu

“…The contribution rate of the brightness temperature at different channels to the objective function of precipitation retrieval model was obtained by the Bayesian model averaging (BMA). Based on the preliminary experimental “quantification” evaluation index, we concluded that the method adopted in this paper can be used to retrieve precipitation in infrared data and to retrieve the spiral cloud rain bands of a typhoon. …”
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Kidney damage on fertility and pregnancy: A Mendelian randomization. by Jin Ren, Qiuyan Huang, Xiaowei Lie, Xingli Tong, Qi Yao, Ge Zhou

“…Next, we introduced the Bayesian model averaging MR analysis to detect major causal relationships and render the results robust. …”
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Climate change impact assessment on groundwater level changes: A study of hybrid model techniques by Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw

“…The HM is made up of a Bayesian model averaging (BMA) and three machine learning models: random forest (RF), support vector machine (SVM), and artificial neural network. …”
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Intelligent model for forecasting fluctuations in the gold price by Mahdieh Tavassoli, Mahnaz Rabeei, Kiamars Fathi Hafshejani

“…It is the first Iranian research in which the fluctuations in this market are modeled using non-linear Bayesian Model Averaging (BMA) and deep neural network approaches.Methodology: It is applied research where monthly data collected from 2010 to 2022 were used. …”
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Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China by Tiantian Tang, Yifan Wu, Yujie Li, Lexi Xu, Xinyi Shi, Haitao Zhao, Guan Gui

“…The MSES was then evaluated against the traditional Bayesian model averaging (BMA) approach. Our comprehensive evaluation, based on deterministic forecasting metrics such as the anomaly correlation coefficient (ACC), mean squared skill score (MSSS), and Graded Precipitation Score (Pg), demonstrated the MSES outperformed individual models and the BMA method. …”
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Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined? by N. Besic, N. Picard, C. Vega, J.-D. Bontemps, L. Hertzog, J.-P. Renaud, J.-P. Renaud, F. Fogel, M. Schwartz, A. Pellissier-Tanon, G. Destouet, F. Mortier, F. Mortier, M. Planells-Rodriguez, P. Ciais

“…This article seeks to endorse the latter by utilizing the Bayesian model averaging approach to diagnose and interpret the differences between predictions from different models. …”
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THE IMPACT OF MACROECONOMIC FACTORSON POVERTY REDUCTION IN LAMDONG PROVINCE by Hồ Quang Thanh, Hoàng Trọng Vinh, Trần Tuấn

“…We use a multiple regression model optimized by means of BMA (Bayesian Model Average) in which several macroeconomic variables includingincome, unemployment (employment), inflation and quality of human resources in Lamdong are employed. …”
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Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin by Ren Xu, Nengcheng Chen, Yumin Chen, Zeqiang Chen

“…This study developed multiple machine learning (ML) downscaling models, based on a Bayesian model average (BMA), to downscale the precipitation simulation of 8 Coupled Model Intercomparison Project Phase 5 (CMIP5) models using model output statistics (MOS) for the years 1961–2005 in the upper Han River basin. …”
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Value of Plasma NGAL and Creatinine on First Day of Admission in the Diagnosis of Cardiorenal Syndrome Type 1 by Hao Phan Thai, Bao Hoang Bui, Tien Hoang Anh, Minh Huynh Van

“…Building the optimal regression model (without eGFRCKDEPID1) by the BMA (Bayesian model average) method with two variables NGAL and Creatinine D1, we had the equation: odds ratio = ey while y = −2.39 + 0.0037 × NGAL + 0.17 × Creatinine D1. …”
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