Parametric sensitivity analysis for biochemical reaction networks based on pathwise information theory.

Having a gradient-free method for this example with parameter space of dimension 207 provides a significant advantage over gradient methods such as finite differencing, where the computation of a very high number of partial derivatives and/or directional derivatives is needed and with possibly significant variance that scales with the dimension, [ 11 ].

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