Search Results - Bayesian decision theory
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Bayesian models in economic theory
Published 1984Subjects: “…Bayesian statistical decision theory…”
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Bayesian statistics : an introduction /
Published 1989Subjects: “…Bayesian statistical decision theory.…”
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Rational descriptions, decisions, and designs /
Published 1969Subjects: “…Bayesian statistical decision theory.…”
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Value of Bayesian Pre-Posterior Information for Enhancing Life-Cycle Cost Analysis of Highway Investments
Published 2025-05-01Subjects: Get full text
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Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem
Published 2023-07-01“…Exploring the connection between Bayesian inference and information theory, we explicitly link BME and ELPD together with RE and IE to highlight the information flow in BMS and BMJ analyses. …”
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Bayesian adaptive trials for social policy
Published 2025-01-01“…Recognizing the crucial need for evidence-based approaches in public policy, the proposed approach aims to lower barriers to the adoption of evidence-based methods and to align evaluation processes more closely with the dynamic nature of policy cycles. BATs, grounded in decision theory, offer a dynamic, “learning as we go” approach, enabling the integration of diverse information types and facilitating a continuous, iterative process of policy evaluation. …”
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A Strategic Hydrogen Supplier Assessment Using a Hybrid MCDA Framework with a Game Theory-Driven Criteria Analysis
Published 2025-07-01“…This study proposes a novel hybrid MCDA framework that integrates the Bayesian Best–Worst Method (BWM), Fuzzy Analytic Hierarchy Process (AHP), and Entropy Weight Method (EWM) for robust criteria weighting, which is aggregated using a game theory-based model to resolve inconsistencies and capture the complementary strengths of each technique. …”
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Analyzing water footprint and water resources sustainability in China’s arid Northwest with Bayesian network
Published 2025-08-01“…To promote the sustainable development of both the economy and water resources, this study integrates the water footprint (WF) theory with a Bayesian network (BN) model to probabilistically characterize the uncertainties of influencing factors in water sustainability assessment, thus providing a flexible and effective decision-support tool. …”
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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting
Published 2025-01-01“…The framework incorporates futures market indicators and employs spectral analysis with Reproducing Kernel Hilbert Space (RKHS) theory for feature alignment. Using a decade-long dataset (2015–2024) of daily soybean oil prices, the model undergoes rigorous validation via cross-validated Bayesian optimization, bootstrap error estimation, and posterior predictive intervals. …”
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NEURAL NETWORK MODEL OF DIAGNOSTICS OF STAGES OF DEVELOPING CORPORATE BANKRUPTCY
Published 2018-06-01“…The model should serve as a tool for improving the objectivity and quality of decisions on the restructuring of corporate debt. The study was conducted on the basis of neural network modelling and system analysis methods, methods of decision-making theory, a solution of inverse problems of interpretation, i.e. extraction of new knowledge from data. …”
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