Sequential Design of Computer Experiments for the Computation of Bayesian Model Evidence
| Autor: | Wolfgang Nowak, Emily Cooke, Michael Sinsbeck |
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| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Active learning (machine learning) Computer science Applied Mathematics Computation Computer experiment Bayesian inference Marginal likelihood Set (abstract data type) Sequential analysis Modeling and Simulation Discrete Mathematics and Combinatorics Statistics Probability and Uncertainty Algorithm Selection (genetic algorithm) |
| Zdroj: | SIAM/ASA Journal on Uncertainty Quantification. 9:260-279 |
| ISSN: | 2166-2525 |
| Popis: | Given a set of competing models of some phenomenon together with measurement data, Bayesian model selection (BMS) is a process of finding the model that is the best candidate for being the true dat... |
| Databáze: | OpenAIRE |
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