Extended Data Fig. 1: Posterior predictive distributions for the parameters in equation (6). | Nature

Extended Data Fig. 1: Posterior predictive distributions for the parameters in equation (6).

From: Tripled yield in direct-drive laser fusion through statistical modelling

Extended Data Fig. 1

The intercept parameter refers to the constant Cj in equation (5), ε refers to the noise parameter in equation (8) and the remaining parameters are the μi values for the corresponding simulated quantities, as in equation (5). The Markov chains for each parameter are converged over 5,000 steps. The tails of the distributions have the same sign as the mean and are not excessively wide when compared to the mean. All these indicate that the model is well specified.

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