Robust and efficient parameter estimation in dynamic models of biological systems

@F_Vaggi We found that regularization can be very helpful, especially with oscillatory models https://t.co/NicsihU9vF

@gepasi @larsjuhljensen we cited a number of good papers on these topics in the intro of https://t.co/NicsihU9vF

Robust and efficient parameter estimation in dynamic models of biological systems https://t.co/LiCITFq3MU

RT @julio_r_banga: Regularization methods: when, why and how can they help in dynamic model calibration https://t.co/OKcCYjP7oY #bmcsyst…

RT @julio_r_banga: Regularization methods: when, why and how can they help in dynamic model calibration https://t.co/OKcCYjP7oY #bmcsyst…

RT @julio_r_banga: New paper out: parameter estimation in dynamic models (handling overfitting and multimodality) https://t.co/OKcCYjP7o…

RT @julio_r_banga: New paper out: parameter estimation in dynamic models (handling overfitting and multimodality) https://t.co/OKcCYjP7o…

Regularization methods: when, why and how can they help in dynamic model calibration https://t.co/OKcCYjP7oY #bmcsystemsbiology

Robust and efficient parameter estimation in dynamic models of biological systems https://t.co/Vkgm7UOAfm #feedly

New paper out: parameter estimation in dynamic models (handling overfitting and multimodality) https://t.co/OKcCYjP7oY #bmcsystemsbiology