A Gaussian mixture model based cost function for parameter estimation of chaotic biological systems.
Yasser ShekoftehSajad JafariJulien Clinton SprottSeyed Mohammad Reza Hashemi GolpayeganiFarshad AlmasganjPublished in: Commun. Nonlinear Sci. Numer. Simul. (2015)
Keyphrases
- parameter estimation
- biological systems
- cost function
- maximum likelihood
- mixture model
- biologically inspired
- em algorithm
- statistical models
- complex systems
- least squares
- markov random field
- systems biology
- expectation maximization
- model selection
- random fields
- parameter estimation algorithm
- living systems
- approximate inference
- computational models
- maximum likelihood estimation
- neural dynamics
- objective function
- gaussian distribution
- covariance matrices
- markov fields
- living organisms
- signal transduction
- three dimensional
- biologically inspired design
- complex biological systems
- parameter estimates
- probabilistic model