Bayesian experimental design and parameter estimation for ultrafast spin dynamics.
Zhantao ChenCheng PengAlexander N. PetschSathya R. ChitturiAlana OkulloSugata ChowdhuryChun Hong YoonJoshua J. TurnerPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- parameter estimation
- experimental design
- posterior distribution
- maximum likelihood
- least squares
- model selection
- bayesian model selection
- empirical studies
- sample size
- random fields
- markov random field
- active learning
- dynamic model
- em algorithm
- experimental designs
- markov fields
- parameter estimates
- feature selection
- expectation maximization
- parameter estimation algorithm
- class imbalance
- posterior probability
- data sets