Efficient inference and identifiability analysis for differential equation models with random parameters

HIGHLIGHTS

• who: Alexander P. Browning and colleagues from the Center for Theoretical Physics, South American , School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia, QUT Centre have published the Article: Efficient inference and identifiability analysis for differential equation models with random parameters, in the Journal: (JOURNAL) of November/28,/2022
• what: The authors develop a new likelihood-based framework based on moment matching for and identifiability analysis of differential equation models that capture biological heterogeneity through parameters that vary according to probability distributions. As the novel method is based on an approximate likelihood function it . . .
  

   

  

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