A Nonlinear Causality Estimator Based on Non-Parametric Multiplicative Regression.
Nicoletta NicolaouTimothy G. ConstandinouPublished in: Frontiers Neuroinformatics (2016)
Keyphrases
- regression function
- gaussian processes
- gaussian process regression
- regression model
- least squares
- nonlinear regression
- simple linear
- locally linear
- linear regression
- gaussian process
- semi parametric
- support vector regression
- granger causality
- maximum a posteriori
- mercer kernels
- nonlinear models
- maximum likelihood
- regression methods
- causal relations
- nadaraya watson
- locally weighted
- regression method
- generalized linear
- regression algorithm
- recursive least squares
- kernel regression
- nonlinear functions
- regression analysis
- probability density function
- neural network
- error estimation
- ridge regression
- causal relationships
- piecewise linear
- random sampling
- model selection
- support vector
- decision trees