Bayesian FDOA Positioning with Correlated Measurement Noise by Wenjun Zhang, Xi Li, Yi Liu, Le Yang, Fucheng Guo

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Constrained Bayesian Method for Testing Equi-Correlation Coefficient by Kartlos Kachiashvili, Ashis SenGupta

“…The simulation results showed that the constrained Bayesian method (CBM) using Stein’s approach has the advantage of making decisions with higher reliability for testing hypotheses concerning the equi-correlation coefficient than the Bayes method. …”
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Lightweight DDoS Attack Detection Using Bayesian Space-Time Correlation by Gabriel Mendonca, Rosa M. M. Leao, Edmundo De Souza E. Silva, Don Towsley

“…To detect attacks with such a limited amount of information, our key insight consists in defining two detection layers: 1) a ML classifier trained with data from real home user and malware; 2) and a Bayesian hierarchical model that exploits the synchronized nature of DDoS attacks by correlating alarms from multiple homes to check the approach in the wild. …”
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Joint Correlations Sparse Bayesian Learning STAP With Prior Knowledge of Clutter Ridge by Junhao Cui, Zhangxin Chen, Jing Liang

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Bayesian Hierarchical Modeling Monthly Crash Counts on Freeway Segments with Temporal Correlation by Qiang Zeng, Jiaren Sun, Huiying Wen

“…To eliminate that heterogeneity, this study analyzes monthly crash counts and develops Bayesian hierarchical models with random effects, lag-1 autoregression (AR-1), and both (REAR-1) to accommodate the multilevel structure and temporal correlation in crash data. …”
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RELIABILITY ANALYSIS FOR JACK-UP GEARBOX BASED ON COPULA BAYESIAN NETWORK by ZHANG Qing, LIU Chao, SUN YuanTao, QIN XianRong

“…However,the Copula Bayesian network takes advantage of both Copula function and Bayesian network,it can takes the correlation of variables into consideration by using Copula function,and makes probability inference of reliability at the same time. …”
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New multifactor spatial prediction method based on Bayesian maximum entropy by YANG Yong, ZHANG Chutian, HE Liyuan

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Bayesian Analysis of Doubly Inflated Poisson Regression for Correlated Count Data: Application to DMFT Data by Bahare Gholami Chaboki, Alireza Akbarzadeh Baghban, Taban Baghfalaki, Mohammad Hossein Khoshnevisan, Maryam Heydarpour Meymeh

“…In this article, we proposed a doubly inflated random effects model using the Bayesian approach for correlated count data with inflation in two values, and compared this model with Bayesian zero-inflated Poisson and Bayesian Poisson models. …”
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Correlations between the Neutron Star Mass–Radius Relation and the Equation of State of Dense Matter by Boyang Sun, James M. Lattimer

“…Our method is developed from the strong correlations that are shown to exist between the neutron star mass–radius curve and the equation of state (EOS) or pressure–energy density relation. …”
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Threshchronic: Concept proposal of a fuzzy bayesian tool for health support by Suvaila Rares

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Optimizing a Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences by Madhur Mangalam, Taylor J. Wilson, Joel H. Sommerfeld, Aaron D. Likens

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Multi-Fidelity Surrogate Modeling via Hierarchical Kriging With Infinite-Width Bayesian Neural Network Correlation Function by Youwei He, Jiangshuo Cui

“…In practice, for a problem with more than 1000 variables, it is often not affordable to build such HK model due to the high demand on the computer memory to store the spatial distance matrix and the heavy computational burden relating to the frequent inversion of the large correlation matrix. To mitigate the curse of dimensionality of HK for high-dimensional problems, an infinite-width Bayesian neural network correlation function is developed and incorporated to the HK model. …”
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Comparative evaluation of alternative Bayesian semi-parametric spatial crash frequency models by Gurdiljot Singh Gill, Wen Cheng, Mankirat Singh, Yihua Li

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Nonparametric Bayesian Networks as a Tool of Multiscale Time Series Analysis and Remote Sensing Data Integration by Nikita S. Pyko, Denis V. Tishin, Pavel Yu. Iskandirov, Artur M. Gafurov, Bulat M. Usmanov, Mikhail I. Bogachev

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Reliability Prediction Based on Multi-State Dynamic Bayesian Network Structure Learning for Complex System With Time-Lagged Correlation by Kaixin Liu, Weilu Chen

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Precision in Brief: The Bayesian Hurst–Kolmogorov Method for the Assessment of Long-Range Temporal Correlations in Short Behavioral Time Series by Madhur Mangalam, Aaron D. Likens

“…The Bayesian Hurst–Kolmogorov (HK) method estimates the Hurst exponents of time series—quantifying the strength of long-range temporal correlations or “fractality”—more accurately than the canonical detrended fluctuation analysis (DFA), especially when the time series is short. …”
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TOAR: Toward Resisting AS-Level Adversary Correlation Attacks Optimal Anonymous Routing by Hui Zhao, Xiangmei Song

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Crypto Asset Markets vs. Financial Markets: Event Identification, Latest Insights and Analyses by Eleni Koutrouli, Polychronis Manousopoulos, John Theal, Laura Tresso

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One health surveillance: linking human and animal rabies surveillance data in Kenya by Samuel Kahariri, Samuel Kahariri, Samuel Kahariri, Samuel Kahariri, Lian F. Thomas, Lian F. Thomas, Bernard Bett, Marianne Mureithi, Brian Njuguna, Nyamai Mutono, Nyamai Mutono, Nyamai Mutono, Thumbi Mwangi, Thumbi Mwangi, Thumbi Mwangi, Thumbi Mwangi

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Correlation learning based multi-task model and its application by XU Wei, LUO Jianping, LI Xia, CAO Wenming

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