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Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network.
Yuan Meng
Published in:
CoRR (2019)
Keyphrases
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latent variables
recurrent neural networks
observational data
granger causality
causal relationships
probabilistic model
neural network
feed forward
hidden variables
gaussian process
real valued
topic models
latent variable models
prior knowledge
recurrent networks
multivariate time series
random variables
impulse response
artificial neural networks
observed variables
error correction
causal discovery
standard deviation
wireless sensor networks
electricity consumption