A Decomposition Algorithm for Learning Bayesian Networks Based on Scoring Function by Mingmin Zhu, Sanyang Liu

“…Learning Bayesian network (BN) structure from data is a typical NP-hard problem. …”
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Fault Diagnosis of Hydraulic Hoist Based on Digital Twin and Bayesian Network by WANG Bo, SUN Ruiyang, QIAN Lu, GU Hao, NIE Xiangtian

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Bayesian Replication of Mortality and Morbidity Risk Effects in Chronic Disease Research by Cristian Antony Ramos Vera

“…Bayesian inference allows the replication of clinical findings by means of the Bayes factor which is referred to as the probability of the data under one hypothesis in relation to another. …”
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Bayesian Inference of Hidden Cognitive Performance and Arousal States in Presence of Music by Saman Khazaei, Md Rafiul Amin, Maryam Tahir, Rose T. Faghih

“…<italic>Methods:</italic> We employ a Bayesian filtering approach within an expectation-maximization framework to track the hidden states during the <inline-formula><tex-math notation="LaTeX">$n$</tex-math></inline-formula>-back task in the presence of calming and exciting music. …”
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Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction by Opal Issan, Pete Riley, Enrico Camporeale, Boris Kramer

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BAYESIAN STATISTICAL FUSION RELIABILITY EVALUATION MODEL OF MULTI-SOURCE HETEROGENEOUS DATA by TANG Li, TANG JiaYin, CHENG ShiJuan

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An efficient PG-INLA algorithm for the Bayesian inference of logistic item response models by Xiaofan Lin, Yincai Tang

“…In this paper, we propose a Bayesian PG-INLA algorithm which is tailored to both one-dimensional and multidimensional 2-PL IRT models. …”
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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…Statistical analysis shows that Bayesian Random Forest Method achieves a cloud particle phase state recognition accuracy of 96% under both rainy and non-rainy weather conditions. …”
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Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory by Zuolong Luo, Fenghui Dong

“…In order to improve the estimation accuracy of bearing capacity of pile foundation, a new forecast method of bearing capacity of pile foundation was proposed on Jeffrey’s noninformative prior using the MCMC (Markov chain Monte Carlo) method of the Bayesian theory. The proposed approach was used to estimate the parameters of Normal distribution. …”
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The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research by Cristian Antony Ramos Vera

“…Bayesian statistics make it possible to contrast statistical hypotheses of significance through probabilities, a priori and posteriori, given the data, whose usefulness is ideal in clinical research. …”
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BAYESIAN FINITE ELEMENT MODEL UPDATING BASED ON MARKOV CHAIN POPULATION COMPETITION by YE Ling, JIANG HongKang, ZOU YuQing, CHEN HuaPeng, WANG LiCheng

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Study of SDN intrusion intent identification algorithm based on Bayesian attack graph by Zhiyong LUO, Yu ZHANG, Qing WANG, Weiwei SONG

“…Since the existing software defined network (SDN) security prediction methods do not consider the attack cost and the impact of controller vulnerabilities on SDN security, a Bayesian attack graph-based algorithm to assessing SDN intrusion intent was proposed.The PageRank algorithm was used to obtain the criticality of the device, and combining with the vulnerability value, attack cost, attack benefit and attack preference, an attack graph was constructed, and a risk assessment model was established to predict the intrusion path.Through experimental comparison, it is obvious that the proposed model can more accurately predict the intrusion path, effectively ensure the accuracy of security prediction, and provide a basis for SDN defense.…”
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Distributed Bayesian Inference for Consistent Labeling of Tracked Objects in Nonoverlapping Camera Networks by Jiuqing Wan, Li Liu

“…In this paper, we formulate this task as a Bayesian inference problem and propose a distributed inference framework in which the posterior distribution of labeling variable corresponding to each observation is calculated based solely on local information processing on each camera and mutual information exchanging between neighboring cameras. …”
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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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Comparison of the Frequentist MATA Confidence Interval with Bayesian Model-Averaged Confidence Intervals by Daniel Turek

“…Model averaging is a technique used to account for model uncertainty, in both Bayesian and frequentist multimodel inferences. In this paper, we compare the performance of model-averaged Bayesian credible intervals and frequentist confidence intervals. …”
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Chord Types and Figuration: A Bayesian Learning Model of Extended Chord Profiles by Christoph Finkensiep, Petter Ericson, Sebasian Klassmann, Martin Rohrmeier

“…To this end, we develop a computational model of chord types that distinguishes chord tones and “figuration tones” and can be learned using Bayesian inference following methods in computational cognitive science. …”
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Risk assessment method for network attack surface based on Bayesian attack graph by Yuyang ZHOU, Guang CHENG, Chunsheng GUO

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A Bayesian Neural Network-Based Method to Calibrate Microscopic Traffic Simulators by Qinqin Chen, Anning Ni, Chunqin Zhang, Jinghui Wang, Guangnian Xiao, Cenxin Yu

“…The paper proposes a Bayesian neural network (BNN)-based method to calibrate parameters of microscopic traffic simulators, which reduces repeated running of simulations in the calibration and thus significantly improves the calibration efficiency. …”
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A Bayesian Inference‐Based Empirical Model for Scintillation Indices for High‐Latitude by K. Meziane, A. Kashcheyev, P. T. Jayachandran, A. M. Hamza

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Demonstration of Emulator-Based Bayesian Calibration of Safety Analysis Codes: Theory and Formulation by Joseph P. Yurko, Jacopo Buongiorno, Robert Youngblood

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