Benchmarking optimization methods for parameter estimation in large kinetic models.
Alejandro Fernández VillaverdeFabian FröhlichDaniel WeindlJan HasenauerJulio R. BangaPublished in: Bioinform. (2019)
Keyphrases
- parameter estimation
- optimization methods
- statistical models
- model selection
- maximum likelihood
- random fields
- least squares
- markov random field
- em algorithm
- optimization problems
- optimization method
- markov chain monte carlo
- model fitting
- parameter values
- estimation problems
- expectation maximization
- parameter estimation algorithm
- bayesian network models
- approximate inference
- simulated annealing
- parameter estimates
- posterior distribution
- experimental data
- feature selection
- optimization approaches
- efficient optimization
- stage stochastic programs
- unconstrained optimization
- graphical models
- optical flow