Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression.

Mengying Lei Aurélie Labbe Lijun Sun

Published in: CoRR (2021)

Keyphrases

sparse bayesian learning
gaussian processes
high order
higher order
decision trees
maximum likelihood
simple linear
bayesian networks
missing data
regression model
data sets
posterior probability
bayesian inference
support vector regression
regression analysis
relevance vector machine
neural network