Time Series Forecasting with Missing Data Using Generative Adversarial Networks and Bayesian Inference.
Xiaoou LiPublished in: Inf. (2024)
Keyphrases
- missing data
- bayesian inference
- probabilistic model
- missing values
- hyperparameters
- bayesian model
- incomplete data
- low rank
- prior information
- matrix factorization
- motion segmentation
- structure from motion
- variational bayes
- prior distribution
- variational inference
- data imputation
- generative model
- artificial neural networks
- unsupervised learning
- multiple imputation
- closed form
- markov chain monte carlo
- expectation propagation