Inference on high-dimensional implicit dynamic models using a guided intermediate resampling filter.
Joonha ParkEdward L. IonidesPublished in: Stat. Comput. (2020)
Keyphrases
- dynamic model
- high dimensional
- experimental data
- similarity search
- low dimensional
- sparse data
- multi dimensional
- probabilistic inference
- nearest neighbor
- preprocessing step
- multiple models
- high dimensional data
- high dimensionality
- belief networks
- noise reduction
- metric space
- dimensionality reduction
- robot manipulators
- high dimension
- high dimensional spaces
- importance sampling
- feature selection
- filtering algorithm
- bayesian inference
- random fields
- markov random field
- feature space