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, leading to the absence of a one-to-one mapping between parameters and outcomes. Theory typically has little to say about …
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This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applications in R. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a...
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