Cargando…
Trajectory-oriented Bayesian experiment design versus Fisher A-optimal design: an in depth comparison study
Motivation: Experiment design strategies for biomedical models with the purpose of parameter estimation or model discrimination are in the focus of intense research. Experimental limitations such as sparse and noisy data result in unidentifiable parameters and render-related design tasks challenging...
Autores principales: | Weber, Patrick, Kramer, Andrei, Dingler, Clemens, Radde, Nicole |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436804/ https://www.ncbi.nlm.nih.gov/pubmed/22962478 http://dx.doi.org/10.1093/bioinformatics/bts377 |
Ejemplares similares
-
Bayesian optimization for goal-oriented multi-objective inverse material design
por: Hanaoka, Kyohei
Publicado: (2021) -
The effect of Fisher information matrix approximation methods in population optimal design calculations
por: Strömberg, Eric A., et al.
Publicado: (2016) -
Determining the maximum information gain and optimizing experimental design in neutron reflectometry using the Fisher information
por: Durant, James H., et al.
Publicado: (2021) -
Bayesian Optimization
for Design of Multiscale Biological
Circuits
por: Merzbacher, Charlotte, et al.
Publicado: (2023) -
Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems
por: Kramer, Andrei, et al.
Publicado: (2014)