A scalable method for the estimation of spatial disaggregation models.
Arthur Nicolaus FendrichElias Salomão Helou NetoLucas Esperancini Moreira e MoreiraDurval Dourado NetoPublished in: Comput. Geosci. (2022)
Keyphrases
- statistical model
- dynamic programming
- high precision
- prior knowledge
- experimental evaluation
- parameter estimation
- monte carlo simulation
- synthetic data
- detection method
- clustering method
- bayesian framework
- prediction model
- high accuracy
- computational cost
- maximum likelihood estimation
- preprocessing
- spatial constraints
- support vector machine svm
- machine learning methods
- modeling method
- estimation accuracy
- feature selection
- computationally efficient
- em algorithm
- probabilistic model
- cost function
- spatio temporal
- artificial neural networks
- objective function