A Data-Driven Model Selection Approach to Spatio-Temporal Prediction.

Rocío Zorrilla Eduardo S. Ogasawara Patrick Valduriez Fábio Porto

Published in: SBBD (2022)

Keyphrases

model selection
data driven
spatio temporal
cross validation
parameter estimation
hyperparameters
statistical learning
statistical inference

model selection criteria
bayesian learning
sample size
regression model
mixture model
meta learning
generalization error
feature selection

bayesian information criterion
variable selection
motion segmentation
image sequences
machine learning
selection criterion
information criterion

marginal likelihood
error estimation
hypothesis tests
parameter determination
bayesian methods
leave one out cross validation
automatic model selection