A Hybrid Deep Learning Model for Rapid Probabilistic Earthquake Source Parameter Estimation With Displacement Waveforms From a Flexible Set of Seismic or HR-GNSS Stations.
Xuekai LinCaijun XuGuoyan JiangJianfei ZangPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- parameter estimation
- em algorithm
- probabilistic model
- model fitting
- maximum likelihood
- statistical models
- deep learning
- markov random field
- model selection
- probability distribution
- least squares
- random fields
- parameter estimation algorithm
- machine learning
- experimental data
- higher order
- learning algorithm
- expectation maximization
- graphical models
- maximum likelihood estimates