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281
Investigation into Interactions between Accident Consequences and Traffic Signs: A Bayesian Bivariate Tobit Quantile Regression Approach
Published 2018-01-01“…To address the correlation and heterogeneity, Bayesian bivariate Tobit quantile regression models were proposed, in which the bivariate framework addressed the correlation of residuals with Bayesian approach, while the Tobit quantile regression model accommodated the heterogeneity due to unobserved factors. …”
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282
Bayesian neural network modelling for estimating ecological footprints and blue economy sustainability across G20 nations
Published 2025-01-01“…Therefore, this study aims to investigate the impact of ecological footprints on the sustainability of the blue economy (BE) while controlling for greenhouse gas emissions (GHG), population growth (POT), and economic growth (GDP). The study applied Bayesian neural network (BNN), OLS, fixed effects, and a two-step generalized method of moments on the panel dataset of G20 countries over the period 2000 to 2021. …”
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283
A Bayesian Network Model for Origin-Destination Matrices Estimation Using Prior and Some Observed Link Flows
Published 2014-01-01“…This paper presents a Bayesian network model for estimating origin-destination matrices. …”
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284
Refined Urban Functional Zones Identification via Empirical Bayesian Kriging: A POI-Weighted Scoring Innovation
Published 2025-01-01Subjects: Get full text
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285
Credit Index Screening Model of Family Farms and Family Ranches Based on Fuzzy Bayesian Theory of Depth Weighting
Published 2022-01-01“…In this paper, based on the depth-weighted Bayesian theory and fuzzy mathematics, the improved depth-weighted fuzzy Bayesian hybrid algorithm model is proposed to solve the unbalanced problem of default status of family farm and pasture and to build the index system with the ability of three categories of default identification. …”
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286
A New Multiface Target Detection Algorithm for Students in Class Based on Bayesian Optimized YOLOv3 Model
Published 2022-01-01“…Aiming at the problem of small target missing detection in the YOLOv3 network structure, an improved YOLOv3 algorithm based on Bayesian optimization is proposed. The algorithm uses deep separable convolution instead of conventional convolution to improve the Darknet-53 basic network, and it reduces the amount of calculation and parameters of the network. …”
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287
Bayesian analysis of the rate of spontaneous malignant mesothelioma among BAP1 mutant mice in the absence of asbestos exposure
Published 2025-01-01Subjects: Get full text
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288
A Novel Model Using Virtual State Variables and Bayesian Discriminant Analysis to Classify Surrounding Rock Stability
Published 2021-01-01“…To accurately classify the stability of surrounding rock masses, a novel method (VSV-BDA) based on virtual state variables (VSVs) and Bayesian discriminant analysis (BDA) is proposed. The factors influencing stability are mapped by an artificial neural network (ANN) capable of recognizing the model of rock mass classification, and the obtained output vector is treated as VSVs, which are verified as obeying a multinormal distribution with equal covariance matrixes by normal distribution testing and constructed statistics. …”
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289
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290
Advanced characterization of deforestation frontiers in Nigeria utilizing deep learning and Bayesian approaches with sentinel-1 SAR imagery
Published 2025-12-01“…Our method includes: (1) evaluating a spatiotemporal deep learning algorithm, particularly U-Net and DeepLab3, with various ResNet backbones across eight temporal datasets for delineating deforestation; (2) employing a Bayesian temporal advancing approach to combine deforestation detection from the Sentinel-1 and (3) conducting frontier analysis based on biannual results to assess patch size distribution and formation speed from 2020 to 2023. …”
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291
A prediction algorithm of telecom customer churn based on Bayesian network parameters learning under incomplete data
Published 2018-01-01Subjects: “…Bayesian network…”
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292
BAYESIAN PARAMETER ESTIMATION OF WEIBULL DISTRIBUTION WITH MULTIPLE CHANGE POINTS FOR RANDOM CENSORING TEST MODEL WITH INCOMPLETE INFORMATION
Published 2016-01-01“…Every parameter is sampled by Gibbs sampler. and the means of Gibbs samples are taken as Bayesian estimations of the parameters. The concrete steps of MCMC methods are given. …”
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293
Enhanced Bayesian model for multienvironmental selection of winter hybrids maize: assessing grain yield using ‘ProbBreed’
Published 2025-01-01Subjects: Get full text
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294
Parallel tempered Bayesian inference for characterizing non-ideal semiconductors: Carrier trapping in cadmium telluride thin films
Published 2025-02-01“…Summary: We describe an improved Bayesian inference methodology to characterize photovoltaic materials by matching charge carrier simulations to spectroscopy data. …”
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295
Probabilistic Power Flow Analysis of DERs Integrated Power System From a Bayesian Parameter Estimation Perspective
Published 2025Subjects: “…Bayesian…”
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296
Advantages of different dietary supplements for elite combat sports athletes: a systematic review and Bayesian network meta-analysis
Published 2025-01-01“…Subsequently, we employed Bayesian network meta-analysis through R software and Stata 15.0. …”
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297
TRUCK CRANE HOIST BOOM BUCKLING RELIABILITY ANALYSIS BASED ON PROBABILISTIC AND NON-PROBABILISTIC HYBRID MODEL AND BAYESIAN NETWORK
Published 2015-01-01Subjects: Get full text
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298
Lightweight and Efficient CSI-Based Human Activity Recognition via Bayesian Optimization-Guided Architecture Search and Structured Pruning
Published 2025-01-01Subjects: Get full text
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299
Bayesian Approach for Sequential Probabilistic Back Analysis of Uncertain Geomechanical Parameters and Reliability Updating of Tunneling-Induced Ground Settlements
Published 2020-01-01“…The approach is proposed based on the recently developed Bayesian updating with subset simulation. Within the framework of the proposed approach, a complex Bayesian back analysis problem is transformed into an equivalent structural reliability problem based on subset simulation. …”
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300
Seismic Prediction of Porosity in the Norne Field: Utilizing Support Vector Regression and Empirical Models Driven by Bayesian Linearized Inversion
Published 2025-01-01Subjects: “…Bayesian linearized inversion…”
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