Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers by Dawei Li, Xiaojian Hu, Cheng-jie Jin, Jun Zhou

“…This study develops a tree augmented naive Bayesian (TAN) classifier based incident detection algorithm. …”
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A Bayesian analysis of birth pulse effects on the probability of detecting Ebola virus in fruit bats by Pleydell, David R.J., Ndong Bass, Innocent, Mba Djondzo, Flaubert Auguste, Meta Djomsi, Dowbiss, Kouanfack, Charles, Peeters, Martine, Cappelle, Julien

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An Automatic Multidocument Text Summarization Approach Based on Naïve Bayesian Classifier Using Timestamp Strategy by Nedunchelian Ramanujam, Manivannan Kaliappan

“…This paper introduces a new concept of timestamp approach with Naïve Bayesian Classification approach for multidocument text summarization. …”
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Risk assessment of gas explosion based on fuzzy Bayesian network improved by entropy weight method by Wen HAN, Zhaoyang YU, Fei LIU, Haoyou ZHAO

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Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms by Yeliz Karaca, Carlo Cattani, Majaz Moonis, Şengül Bayrak

“…We present efficient clustering algorithms to eliminate irregularities for a given set of stroke dataset using 2D multifractal denoising techniques (Bayesian (mBd), Nonlinear (mNold), and Pumping (mPumpD)). …”
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Bayesian Hierarchical Risk Premium Modeling with Model Risk: Addressing Non-Differential Berkson Error by Minkun Kim, Marija Bezbradica, Martin Crane

Subjects: “…Bayesian hierarchical model…”
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Characterization and Prediction of the Ghana Stock Exchange Composite Index Utilizing Bayesian Stochastic Volatility Models by Osei K. Tweneboah, Kwesi A. Ohene-Obeng, Maria C. Mariani

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A new Bayesian method for the estimation of emergency nurses’ thresholds and agreement in the context of telephone triage by Michele Vicovaro, Giuseppe Mignemi, Massimo Nucci, Luigi Bolognani, Sara Iannattone, Giovanni Bruno, Giovanni Bruno, Andrea Spoto

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A Bayesian Approach for Estimating the Thinning Corrosion Rate of Steel Heat Exchanger in Hydrodesulfurization Plants by J. C. Velázquez, F. Caleyo, R. Cabrera-Sierra, G. Teran, E. Hernandez-Sanchez, S. Capula-Colindres, H. Herrera-Hernández, C. C. Ortiz-Herrera

“…Sometimes, the information is limited; consequently, the application of advanced statistical techniques is needed. The Bayesian Data Analysis (BDA) used in this study has the goal of determining a more accurate, unobserved thinning rate distribution for existing heat exchangers, taking into consideration all the information available about the thinning rate of the heat exchangers that cool down the effluent of the hydrotreating reactors in Mexican oil refineries. …”
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INTEGRATED BAYESIAN CONFIDENCE RELIABILITY EVALUATION MODEL BASED ON WEIBULL TYPE ZERO-FAILURE DATA by HE WuHui, TANG JiaYin

“…In the case of no-fault data,the failure probability combined with the Bayesian theory to study the confidence limit analysis to correct the unilateral confidence reliability evaluation. …”
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A Bayesian network model integrating data and expert insights for fishing ship risk assessment by Sang-A Park, Deuk-Jin Park, Jeong-Bin Yim, Hyung-ju Kim

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Bayesian active sound localisation: To what extent do humans perform like an ideal-observer? by Glen McLachlan, Piotr Majdak, Jonas Reijniers, Michael Mihocic, Herbert Peremans

“…In the evaluation, we compared human performance obtained in a free-field active localisation experiment with the predictions of a Bayesian model. Model noise parameters were set a-priori based on behavioural results from other studies, i.e., without any post-hoc parameter fitting to behavioural results. …”
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Interatrial Block and Electrocardiographic Markers of Repolarization in Patients Hospitalized with COVID-19: Classical and Bayesian Analysis by Rengin CETIN GUVENC, Ali Kaan GUREN, Busra ENGUR, Selin CELİK, Refik DEMIRTUNC

“…There were no differences between the groups for QTc, QTd or Tpe. On Bayesian analyses, there was strong evidence favoring an association between COVID-19 and advanced IAB (BF10: 16), whereas there was no evidence for an association for partial IAB, QTc, QTd, or Tpe (BF10<1 for all). …”
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A Bayesian Hierarchical Model for Relating Multiple SNPs within Multiple Genes to Disease Risk by Lewei Duan, Duncan C. Thomas

“…Here, we present an extension of a Bayesian hierarchical modeling strategy that allows for multiple SNPs within each gene, with external prior information at either the SNP or gene level. …”
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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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On the development of a practical Bayesian optimization algorithm for expensive experiments and simulations with changing environmental conditions by Mike Diessner, Kevin J. Wilson, Richard D. Whalley

Subjects: “…Bayesian optimization…”
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Safety Risk Analysis of Unmanned Ships in Inland Rivers Based on a Fuzzy Bayesian Network by Xiuxia Zhang, Qingnian Zhang, Jie Yang, Zhe Cong, Jing Luo, Huanwan Chen

“…Relying on Yangtze River, a fuzzy Bayesian network of the sailing safety risk of unmanned ships in inland rivers is constructed. …”
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Effect of Prehospital Epinephrine on Outcomes of Out-of-Hospital Cardiac Arrest: A Bayesian Network Approach by Joonghee Kim, Yu Jin Kim, Sangsoo Han, Han Joo Choi, Hyungjun Moon, Giwoon Kim

“…We sought to identify the real-world effect of epinephrine from a clinical registry using Bayesian network with time-sequence constraints. Methods. …”
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A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices by Muhammad Ahmad Raza, Mohammed M. A. Almazah, Nadhir Al-ansari, Ijaz Hussain, Fuad S. Al-Duais, Mohammed A. Naser

“…These ADPPs are obtained from Bayesian networks (BNs)-based Markov Chain Monte Carlo (MCMC) simulations. …”
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Spatial Images Feature Extraction Based on Bayesian Nonlocal Means Filter and Improved Contourlet Transform by Pengcheng Han, Junping Du

“…The Bayesian model adds a sigma range in image a priori operations, which can be more effective in protecting image details. …”
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