Comprehensive Monitoring of Complex Industrial Processes with Multiple Characteristics by Chenxing Xu, Jiarula Yasenjiang, Pengfei Cui, Shengpeng Zhang, Xin Zhang

“…Each division was monitored by the PCA-KPCA-ICA-KICA model, and finally the Bayesian fusion strategy proposed in this study is used to synthesize the detection results for each block. …”
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Uncertainty Quantification of GEKO Model Coefficients on Compressible Flows by Yeong-Ki Jung, Kyoungsik Chang, Jae Hyun Bae

“…Results obtained through calibrated model coefficients by Bayesian inference show superior prediction with available experimental measurements than those from original model ones.…”
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Market Power, NAIRU, and the Phillips Curve by Derek Zweig

“…We explore the relationship between unemployment and inflation in the United States (1949-2019) through both Bayesian and spectral lenses. We employ Bayesian vector autoregression (“BVAR”) to expose empirical interrelationships between unemployment, inflation, and interest rates. …”
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An investigation of machine learning methods applied to genomic prediction in yellow-feathered broilers by Bogong Liu, Huichao Liu, Junhao Tu, Jian Xiao, Jie Yang, Xi He, Haihan Zhang

“…The results indicated that classic methods, such as GBLUP and Bayesian, achieved superior prediction accuracy compared to ML methods in five of the eight traits. …”
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Pharmacovigilance study of the association between progestogen and depression based on the FDA adverse event reporting System (FAERS) by Hui Gao, Xiaohan Zhai, Yan Hu, Hang Wu

“…The reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN) and Multi-item Gamma Poisson Shrinker (MGPS) were used for Bayesian analysis and disproportionation analysis. …”
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Calibration verification for stochastic agent-based disease spread models. by Maya Horii, Aidan Gould, Zachary Yun, Jaideep Ray, Cosmin Safta, Tarek Zohdi

“…The first calibration method is a Bayesian inference approach using an empirically-constructed likelihood and Markov chain Monte Carlo (MCMC) sampling, while the second method is a likelihood-free approach using approximate Bayesian computation (ABC). …”
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Perfusion MRI in automatic classification of multiple sclerosis lesion subtypes by Ehsan Homayouny, Rasoul Mahdavifar Khayati, Seyed Massood Nabavi, Vania Karami

“…The Bayesian classifier accomplished the segmentation of lesions using Fluid Attenuated Inversion Recovery automatically, and the ANN part was used as a subtype classifier that worked based on extracted information from perfusion MRI (i.e. …”
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Identifying potential drug targets for myocardial infarction through Mendelian randomization. by Xiangyou Yu, Shasha Liu

“…In CSF, CD30 Ligand was associated with MI risk. Bayesian colocalization supported the association for CD8A in plasma. …”
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BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses by Yuefei Liu, Xueping Fan, Guanghong Yang, Zhipeng Shang, Xiaoxiong Zhao

“…To reasonably predict the steel box girder reliability considering the dynamic dependence among the performance functions corresponding to the failure modes of the multiple monitoring points, this paper firstly adopts the dynamic monitoring extreme stresses of the multiple control points to build the Bayesian Dynamic Vine Copula Model (BDVCM) taking into account the dynamic dependence of the multiple monitoring variables through combining the vine copula technique with Bayesian Dynamic Linear Models (BDLM); secondly, with first-order second-moment method and the built BDVCM, the steel box girder reliability, taking into account dynamic dependence among the performance functions corresponding to the failure modes of the multiple monitoring points, is predicted; finally, the monitoring data from the five sections of an existing steel box girder were provided to illustrate the proposed model and approach. …”
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Nonlinear Autoregressive Model for Stability and Prediction by Salim M. Ahmad, Anas S. Youns, Manal S. Hamdi

“…The statistical criteria used in the fifth paragraph of the research are the Akaike information criterion (AIC), Bayesian information criterion (BIC), and normalized Bayesian information criterion (NBIC).…”
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Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction Tree by Mengyuan Dai, Hua Mu, Meiping Wu, Zhiwen Xian

“…In the new solution, the system is modeled as a dynamic Bayesian network (DBN). A probabilistic graphical method named junction tree (JT) is used to analyze the hidden distributed structure of the DBNs. …”
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The Efficacy of Monetary and Fiscal Policies on Economic Growth: Evidence from Thailand by Pathairat Pastpipatkul, Htwe Ko

“…In this study, data analysis was conducted using an advanced sequence of the econometric modeling approach to guarantee that the estimated results were more consistent and reliable. First, we used Bayesian additive regression trees (BART) and Bayesian variable selection (BASAD) methods to determine macro factors with the highest probabilities influencing growth, in addition to monetary and fiscal policy tools during the studied periods. …”
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Analysis of competing risks model using the generalized progressive hybrid censored data from the generalized Lomax distribution by Amal Hassan, Sudhansu Maiti, Rana Mousa, Najwan Alsadat, Mahmoued Abu-Moussa

“…Both maximum likelihood (ML) and Bayesian approaches were used to estimate the unknown parameters, reliability characteristics, and relative risks due to two causes. …”
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Inferential Statistics from Black Hispanic Breast Cancer Survival Data by Hafiz M. R. Khan, Anshul Saxena, Elizabeth Ross, Venkataraghavan Ramamoorthy, Diana Sheehan

“…A novel Bayesian method was used to derive the posterior density function for the model parameters as well as to derive the predictive inference for future response. …”
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Identifying Copy Number Variants under Selection in Geographically Structured Populations Based on -statistics by Hae-Hiang Song, Hae-Jin Hu, In-Hae Seok, Yeun-Jun Chung

“…By applying this Bayesian method to the publicly available CNV data, we identified the CNV loci that show signals of natural selection, which may elucidate the genetic basis of human disease and diversity.…”
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Assessing digital financial inclusion and financial crises: The role of financial development in shielding against shocks by Huy Nguyen Quoc, Dinh Le Quoc, Hai Nguyen Van

“…Using a combination of Threshold Regression (PTR) and Bayesian regression methods, the research first identifies structural breaks in the DFI-FC relationship, with FD as the threshold variable. …”
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Application of the ABC Algorithm in Parameter Estimation and Kinetic Model Selection in Propionic Fermentation by Waldecleia Queiroz Da Costa, Miguel Fernando Saraiva Maia, Nilton Pereira Da Silva, Deibson Silva Da Costa, Emerson Cardoso Rodrigues, Diego Cardoso Estumano

“…This article's novelty is the application of the Bayesian technique (Computational Bayesian Approximation) to estimate parameters and simultaneously select the best model. …”
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Square Root Unscented Kalman Filter-Based Multiple-Model Fault Diagnosis of PEM Fuel Cells by Abdulrahman Allam, Michael Mangold, Ping Zhang

“…Online state estimates are provided by the SRUKF, which additionally propagates model-conditioned statistical information to update a Bayesian framework for model selection. The Bayesian model selection method carries fault indication signals that are interpreted by a derived decision logic to obtain reliable information on the current-operating system regime. …”
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The Role of Migration in Maintaining the Transmission of Avian Influenza in Waterfowl: A Multisite Multispecies Transmission Model along East Asian-Australian Flyway by Akira Endo, Hiroshi Nishiura

“…Transmission and migration parameters were estimated by Bayesian posterior sampling. The basic reproduction number was estimated at 1.1, slightly above the endemic threshold. …”
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Preoperative dental assessment for the reduction of periprosthetic joint infections in patients undergoing total joint replacement: a systematic review and meta-analysis by Zbigniew Putowski, Magdalena Miłobędzka, Michał Kisiołek, Wojciech Szczeklik, Roman Jaeschke, Piotr Puc, Katarzyna Szczeklik

“…In addition to traditional meta-analysis, a Bayesian analysis and trial sequential analysis were performed. …”
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