An Adjustable Functional Regression Model for Real-time Degradation Prognostic Under Incomplete Data Scenarios.
K. G. ZhangL. CaoX. Q. XingT. B. XiaZ. ChenErshun PanL. F. XiPublished in: IEEM (2023)
Keyphrases
- regression model
- incomplete data
- learning bayesian networks
- missing data
- missing values
- model selection
- regression analysis
- bayesian networks
- regression methods
- hyperparameters
- linear regression model
- gaussian process
- generalized linear models
- prediction model
- explanatory variables
- em algorithm
- multivariate regression
- logistic regression models
- incomplete data sets
- multiple linear regression
- interval valued data
- decision trees
- machine learning
- survival analysis
- random variables
- high dimensional
- data sets