Simulation Failure-Robust Bayesian Optimization for Data-Driven Parameter Estimation.
Ankush ChakrabartyScott A. BortoffChristopher R. LaughmanPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2023)
Keyphrases
- parameter estimation
- data driven
- maximum likelihood
- posterior distribution
- least squares
- model selection
- random fields
- markov random field
- em algorithm
- statistical models
- bayesian model selection
- expectation maximization
- approximate inference
- markov chain monte carlo
- estimation problems
- parameter values
- parameter estimation algorithm
- particle physics
- maximum likelihood estimation
- position estimation
- parameters estimation
- machine learning
- metropolis hastings algorithm
- gibbs sampling
- non stationary
- parameter estimates
- latent variables
- optimization method
- markov fields
- graphical models
- higher order
- pairwise