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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Research on Monthly Runoff Forecast in Beijiang River Basin Based on Multi-model Ensemble Method by ZHONG Yixuan, LIAO Xiaolong, QUAN Xujian, YI Ling, CHEN Yan, LI Yuanyuan, XUE Jiao

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Runoff Ensemble Simulation based on Multiple Satellite Precipitation Products and Multiple Rainfall Runoff Models in Xijiang River Basin by SHU Peng, XIONG Lihua, CHEN Shilei, ZHA Xini

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Integrated Forecast of Monthly Saltwater Intrusion at Modaomen Waterway Based on Multiple Models by LU Pengyu, LIN Kairong, YANG Yugui, YUAN Fei, HE Yong

“…This paper builds the regression model by Random Forest (RF) algorithm, Support Vector Machine (SVM) and Elman Neural Network (ENN), and conducts a monthly integrated forecast through Bayesian Model Averaging (BMA) method. The results indicate that: ① RF, SVM and ENN show different extent of uncertainty on small sample sets; ② The simulation accuracy of BMA is significantly improved, with NSE of 0.67, which is 22%, 24% and 33% higher than that of RF, SVM and ENN, respectively.…”
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Effect of the Ensemble System Size on the Precipitation Forecast Accuracy by Atefeh Mohamadi, Majid Azadi

“…There are several methods for post-processing of ensemble forecasting, including Bayesian Model Averaging (BMA) and Ensemble Model Output Statistics (EMOS) that they are more popular because of higher efficiency and accuracy. …”
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An intensification of surface Earth’s energy imbalance since the late 20th century by Xuqian Li, Qingxiang Li, Martin Wild, Phil Jones

“…We have employed the Bayesian Model Averaging (BMA) method, integrating it with recent developments in surface solar radiation observational data, to refine the ensemble of CMIP6 model outputs. …”
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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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A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study by Nghia H. Vo, Bui V. Pham, Nghia N. Nguyen, Bao T. Nguyen

“…We used the Bayesian Model Averaging method to identify the optimal model for predicting CKD. …”
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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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