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Table 1.

Comparison of full total order sensitivity indices for the linear function across different GSA methods. Estimates are reported as bootstrap means.

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Table 2.

Comparison of full total order sensitivity indices for the Ishigami function across different GSA methods. Estimates are reported as bootstrap means.

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Table 2 Expand

Table 3.

Comparison of full total order sensitivity indices for the Sobol g-function across different GSA methods. Estimates are reported as bootstrap means.

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Table 4.

Comparison of running times of different GSA methods for the Sobol g-function.

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Fig 1.

SIR model.

Compartmental transmission diagram and corresponding system of ODEs.

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Fig 1 Expand

Fig 2.

Failure of Sobol’s method.

Column swapping in Sobol’s two-matrix estimator ignores Bayesian-calibrated parameter correlations, leading to distorted predictive distributions of .

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Fig 3.

Comparison.

Empirical marginal density comparison between posterior samples and autoregressive model generated samples.

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Fig 4.

Results.

GSA results for the SIR model using an autoregressive model. Estimates are reported as bootstrap means, with error bars indicating 95% bootstrap confidence intervals.

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Fig 5.

CAR-T model.

Compartmental transmission diagram and corresponding system of ODEs.

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Fig 5 Expand

Fig 6.

Results.

GSA results for the CAR-T model using a diffusion model. Estimates are reported as bootstrap means, with error bars indicating 95% bootstrap confidence intervals.

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