A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials.
Anabel del ValOlivier P. Le MaîtreOlivier ChazotThierry E. MaginPietro Marco CongedoPublished in: CoRR (2020)
Keyphrases
- likelihood function
- maximum likelihood
- posterior probability
- em algorithm
- model selection
- particle filter
- bayesian networks
- generative model
- posterior distribution
- worst case
- denoising
- dynamic programming
- expectation maximization
- optimal solution
- computer vision
- closed form
- log likelihood function
- bayesian inference
- reinforcement learning
- bayesian framework
- maximum a posteriori
- gaussian mixture model
- cross validation
- parameter estimation
- feature space