Time warping for improved gradient matching

Mu Niu (University of Glasgow)

Friday 26th August, 2016 15:00-16:00 Maths 203


Gradient matching for computationally tractable inference in systems of coupled differential equations critically hinges on the smoothing scheme for function interpolation. In this talk I propose a time warping approach aiming to homogenize intrinsic length scales can lead to a significant improvement in parameter estimation accuracy. We demonstrate the effectiveness of this scheme on noisy data from two dynamical systems with periodic limit cycle and a biopathway. Our study also provides a comparative evaluation on a wide range of signal-to-noise ratios.

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