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Bayesian generalized dissimilarity model for marine biodiversity analysis
Published 2025-12-01Get full text
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Resilience Analysis of Airport Systems Based on Improved Bayesian Networks
Published 2025-07-01“…However, current assessment methods primarily rely on subjective evaluations and lack probabilistic reasoning to account for the dynamic interdependencies among resilience factors. …”
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TBM construction risk analysis based on fuzzy Bayesian network
Published 2025-05-01“…Aiming at the characteristics of various TBM construction risk factors, fuzzy and complex systems, and frequent shutdown accidents, a TBM construction risk analysis methodology based on a fuzzy Bayesian network is proposed. …”
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Psychosocial interventions for psoriasis: a Bayesian network meta-analysis
Published 2025-12-01“…Trials investing in psychosocial therapy in psoriasis patients were included using A random-effects network meta-analysis (NMW) within a Bayesian framework focusing on dermatology life quality index (DLQI), depression, and anxiety, along with adherence to treatment. …”
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Cause Analysis of Coal Mine Gas Explosion Based on Bayesian Network
Published 2022-01-01“…In this paper, the cause model of coal mine gas explosion is constructed based on the Bayesian network, and the cause chain of gas explosion accident is established by SPSS correlation analysis. …”
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Bayesian analysis for inference of an emerging epidemic: citrus canker in urban landscapes.
Published 2014-04-01Get full text
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The accuracy of tuberculous meningitis diagnostic tests using Bayesian latent class analysis
Published 2020-05-01“…Methodology: We used a Bayesian latent class analysis to estimate the prevalence of TBM with 95% credible interval (CI), and the specificity and sensitivity of the four diagnostic procedures. …”
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Reliability Analysis of a Complex Multistate System Based on a Cloud Bayesian Network
Published 2021-01-01“…The cloud model and Bayesian network were combined to form a reliable cloud Bayesian network analysis method. …”
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Psychological pathways of violent and non-violent criminals: an exploration combining network analysis and Bayesian modeling
Published 2025-06-01“…This study explored differences in key psychological variables and their interactions between violent and non-violent offenders using network analysis and Bayesian network modeling. Psychological assessments were conducted on 749 male incarcerated individuals (335 violent, 414 non-violent offenders), covering impulsivity, personality traits, mindfulness, reinforcement sensitivity, childhood trauma, moral disengagement, criminal cognition, and risk attitudes. …”
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Bayesian assessment of commonly used equivalent circuit models for corrosion analysis in electrochemical impedance spectroscopy
Published 2024-11-01“…In this work, we systematically examined the applicability of three commonly used ECMs across several typical material degradation scenarios. By applying Bayesian Inference to simulated corrosion EIS data, we assessed the suitability of these ECMs under different corrosion conditions and identified regions where the EIS data lacks sufficient information to statistically substantiate the ECM structure. …”
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User Concerns Analysis and Bayesian Scenario Modeling of Typhoon Cascading Disasters Based on Online Public Opinion
Published 2025-06-01“…Scenario analysis and the modeling of typhoons are fundamental prerequisites for effective emergency decision-making. …”
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Dual-loop integration framework for model-based system design and reliability analysis using Bayesian networks
Published 2025-09-01“…Integrating model-based systems engineering (MBSE) and reliability analysis is challenging due to the lack of life-cycle reliability consideration in system design, difficulty in tracking design changes in reliability modeling, and limited quantitative analysis support in system modeling. …”
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Diffuse X-Ray Emission in M51: A Hierarchical Bayesian Spatially Resolved Spectral Analysis
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Using Bayesian analysis to quantify and reduce uncertainty in experimental measurements — A narrow-angle radiometer case study
Published 2025-06-01“…Without quantified uncertainty, it is difficult to draw definitive conclusions from the experimental data, as a lack of formal uncertainty analysis leaves the reliability of the data unknown. …”
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Optimized therapeutic potential of Sijunzi-similar formulae for chronic atrophic gastritis via Bayesian network meta-analysis
Published 2024-09-01“…Currently, there is a lack of meta-analysis for these formulae, leaving unclear which exhibits optimal efficacy. …”
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Comparative efficacy and safety of acupuncture for adolescent depression: protocol for a systematic review and Bayesian network meta-analysis
Published 2025-07-01“…Secondary endpoints include safety outcomes, measured by the incidence of adverse events during the study period. Bayesian network meta-analysis will be performed using the gemtc package (v0.8-7) in R statistical software (version 4.0.5).DiscussionThis study will clarify the comparative efficacy and safety of acupuncture for adolescent depression, guiding clinical decision-making.Prospero Registration Numberidentifier (CRD 42024581768).…”
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A Bayesian network meta-analysis of non-pharmacological interventions for neonatal pain management: a clinical effectiveness comparison
Published 2025-05-01“…A Bayesian model was employed for the analysis, and heterogeneity was quantified using random-effects standard deviation (RESD), τ², and I² statistics. …”
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Nonpharmacological interventions for decreasing anxiety during anesthesia induction in children: a systematic review and Bayesian network meta-analysis
Published 2025-05-01“…Design Systematic review and Bayesian network meta-analysis. Methods We searched PubMed, Embase, CINAHL, Cochrane Library, and Web of Science to identify articles published up to August 2024. …”
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