Estimation of Fuzzy Regression Parameters With ANFIS and Bayesian Methods by M. Pakdel, T. Razzaghnia, K. Fathi, A. Mostafaee

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THz-SAR Vibrating Target Imaging via the Bayesian Method by Bin Deng, Xin-yun Wang, Cheng-guang Wu, Yu-liang Qin, Hong-qiang Wang

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Uncertainty analysis of varying inertia estimation based on Bayesian method by Dongdong Li, Wei Hua, Yang Mi

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STATISTICAL MODEL UPDATING AND STRUCTURAL PROBABILISTIC DAMAGE IDENTIFICATION BASED ON BAYESIAN METHOD by GAN Lu, CHEN Hui

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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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Parameter uncertainties for imperfect surrogate models in the low-noise regime by Thomas D Swinburne, Danny Perez

Subjects: “…Bayesian methods…”
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Detection of Emerging Faults on Industrial Gas Turbines Using Extended Gaussian Mixture Models by Yu Zhang, Chris Bingham, Miguel Martínez-García, Darren Cox

“…An advantage of the variational Bayesian method over traditional predefined thresholds is the extraction of steady-state data during both full- and part-load cases, and a primary advantage of the GMM with an outlier component is its applicability for novelty detection when there is a lack of prior knowledge of fault patterns. …”
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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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Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution by Kaisar Ahmad, S. P. Ahmad, A. Ahmed

“…The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the scale parameter of Nakagami distribution by using Jeffreys’, Extension of Jeffreys’, and Quasi priors under three different loss functions. …”
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Analysis of Feature Extraction and Anti-Interference of Face Image under Deep Reconstruction Network Algorithm by Jin Yang, Yuxuan Zhao, Shihao Yang, Xinxin Kang, Xinyan Cao, Xixin Cao

“…Then, the portrait pyramid segmentation and local feature point segmentation are applied to extract the features of face images, and the matching of face feature points is achieved using Euclidean distance and joint Bayesian method. Finally, Matlab software is used to simulate the algorithm proposed in this paper and compare it with other algorithms. …”
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The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research by Cristian Antony Ramos Vera

“…The application of this Bayesian method is an alternative to evaluate comparative hypotheses of investigations with binary data, effective for case-control studies. …”
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Fund Performance Evaluation Based on Bayesian Model and Machine Learning Algorithm by Shuanbao Li, Shenming Qu

“…Based on Bayesian method, this paper constructs a model for estimating fund performance evaluation, and uses machine learning algorithm to construct a sampler that can sample on the basis of conditional distribution. …”
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Efficient 3D imaging method of MIMO radar for moving target by Wei WANG, Ziying HU, Jia’nan YUE

“…When compressive sensing (CS) was used to achieve sparse imaging of moving targets,the Doppler frequency caused by motion will increase the processing dimension,change the center frequency of echo and worsen the mutual coherence property of measurement matrix.In order to improve the three-dimensional (3D) imaging performance of MIMO radar for moving targets,an efficient method was proposed.In each dimension,the distribution information of targets was searched respectively and a new low-dimensional measurement matrix was reconstructed accordingly,so the targets’ area was narrowed down.At the same time,in order to optimize the mutual coherence property of measurement matrix,Bayesian method was used to optimize the velocity-dimensional projection matrix to reduce the strong mutual coherence brought by sampling of Doppler frequency,then the efficient sparse imaging could be achieved.The simulation results show that proposed method can improve the efficiency,accurate imaging performance with efficient.…”
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Probability of Dying in Each of the Competing Risks under Bimorbid Condition by Kalpana Singh, Suddhendu Biswas

“…This is obtained by choice of a model which is bivariate negative binomial distribution for obtaining the number of deaths (assuming the deaths occur in the last trial). A Bayesian method has also been used for estimating probability of dying in heart disease and chronic kidney disease in the presence of diabetes, hypertension, and stroke or heart disease with chronic kidney disease. …”
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Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory by Zuolong Luo, Fenghui Dong

“…The result indicates that the forecast model of Normal distribution using the Bayesian method is better than that of the maximum likelihood method, and the performance of the proposed method was improved with increasing of pseudosample number. …”
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Bayesian p-curve mixture models as a tool to dissociate effect size and effect prevalence by John P. Veillette, Howard C. Nusbaum

“…We introduce a widely applicable Bayesian method, the p-curve mixture model, that jointly estimates prevalence and effect size by probabilistically clustering participant-level data based on their likelihood under a null distribution. …”
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Decentralized Kalman Filtering with Multilevel Quantized Innovation in Wireless Sensor Networks by Zhi Zhang, Jianxun Li

“…Besides, this paper explores the quantization state estimation by adopting the Bayesian method rather than the traditional iterated conditional expectation method. …”
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A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning by Xin Zhang, Shuaiwen Tang, Taoyuan Liu, Bangcheng Zhang

“…For the residual life prediction of complex systems, the maximum likelihood method is adopted to estimate the drift coefficient, and the Bayesian method is adopted to update the parameters of Wiener process. …”
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Bayesian Estimation of Archimedean Copula-Based SUR Quantile Models by Nachatchapong Kaewsompong, Paravee Maneejuk, Woraphon Yamaka

“…Satisfactory results from simulation studies are obtained suggesting the good performance and reliability of the Bayesian method used in our proposed model. The real data analysis is also provided, and the empirical comparison indicates our proposed model outperforms the conventional models in all considered quantile levels.…”
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The stability of Vietnamese commercial banks - Does liquidity creation matter? by Linh Thi My Nguyen, Oanh Thi Kim Tran

“…The study offers insights into whether liquidity creation, capital growth rate, and their interaction have affected the stability of Vietnamese commercial banks by employing the Bayesian method for a sample of 25 commercial banks during 2008 - 2022. …”
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