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Using dynamic Bayesian belief networks to infer the effects of climate change and human activities on changes in regional ecosystem services
Published 2025-01-01Subjects: Get full text
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302
Crop water productivity assessment and planting structure optimization in typical arid irrigation district using dynamic Bayesian network
Published 2024-07-01Subjects: Get full text
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303
Which, renewable or non-renewable energy, is more vital for the economic growth of OECD countries? A Bayesian hierarchical analysis
Published 2025-02-01“…In light of this issue, a Bayesian mixed-effects (hierarchical) regression framework provides a flexible and efficient alternative. …”
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304
Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images
Published 2025-01-01Subjects: Get full text
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An enhanced Bayesian approach for damage identification utilizing prior knowledge from refined elemental modal strain energy ratios
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306
Comparative efficacy and safety of intra-articular analgesics after knee arthroscopy: a Bayesian network meta-analysis protocol
Published 2020-09-01“…The methodological quality of the included RCTs will be assessed based on the Cochrane risk of bias table. The Bayesian network meta-analysis will be conducted using WinBUGS V.1.4.3.Ethics and dissemination Since no private or confidential patient data will be contained in the reporting, approval from an ethics committee is not required. …”
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307
A Bayesian Adaptive Design in Cancer Phase I Trials Using Dose Combinations in the Presence of a Baseline Covariate
Published 2018-01-01“…A Bayesian adaptive design for dose finding of a combination of two drugs in cancer phase I clinical trials that takes into account patients heterogeneity thought to be related to treatment susceptibility is described. …”
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308
Incorporating a Bayesian Network into Two-Stage Stochastic Programming for Blood Bank Location-Inventory Problem in Case of Disasters
Published 2019-01-01“…Thus, taking earthquakes as the example, a Bayesian Network is proposed to describe such uncertainties and interdependences and, then, we incorporate it into a dedicated two-stage multi-period stochastic programming model for the BLN. …”
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309
Transitional Grid Maps: Joint Modeling of Static and Dynamic Occupancy
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310
Bayesian Inference of Elevation to Reduce Large Interpolation Errors in 2-d Road Features Draped Over Digital Elevation Models
Published 2024-01-01Subjects: “…Bayesian…”
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Optimal Non-Pharmacological Interventions for Reducing Problematic Internet Use in Youth: A Systematic Review and Bayesian Network Meta-Analysis
Published 2025-01-01“…We carried out a data analysis to compare the efficacy of various NPIs using Bayesian NMA. A battery of analyses and assessments, such as conventional meta-analysis and risk of bias, were performed concurrently. …”
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Water Quality Evaluation and Influencing Factor Analysis of Nanwan Reservoir with a Bayesian Model Based on AHM-CRITIC Combination Weighting
Published 2023-01-01Subjects: Get full text
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317
Bayesian reinforcement learning models reveal how great-tailed grackles improve their behavioral flexibility in serial reversal learning experiments
Published 2024-09-01“…Here, we apply and expand newly developed Bayesian reinforcement learning models to gain additional insights into how individuals might dynamically modulate their behavioral flexibility if they experience serial reversals. …”
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318
Maximum Mixture Correntropy Criterion-Based Variational Bayesian Adaptive Kalman Filter for INS/UWB/GNSS-RTK Integrated Positioning
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319
Estimation of true dates of various flowering stages at a centennial scale by applying a Bayesian statistical state space model.
Published 2025-01-01“…These results indicated that our proposed Bayesian statistical state space model can estimate cherry flowering phenology that takes into account centennial-scale air temperature data recorded at a nearby weather station with a coarse temporal resolution.…”
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Total Organic Carbon Content Prediction in Lacustrine Shale Using Extreme Gradient Boosting Machine Learning Based on Bayesian Optimization
Published 2021-01-01“…In this study, a novel data-driven Bayesian optimization extreme gradient boosting (XGBoost) model was proposed to predict the TOC content using wireline log data. …”
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