Ebook Uncertainty in biology - A computational modeling approach: Part 2

Part 2 book "Uncertainty in biology - A computational modeling approach" includes content: Bayesian model selection methods and their application to biological ODE systems, sloppiness and the geometry of parameter space; modeling and model simplification to facilitate biological insights and predictions; sensitivity analysis by design of experiments; waves in spatially disordered neural fields - a case study in uncertainty quantification; in silico models of trabecular bone - A sensitivity analysis perspective,... and other contents.
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Ebook Uncertainty in biology - A computational modeling approach: Part 2