4 papers
Renewable Online Expectile Regression for Heterogeneous Streaming Data with Abnormal Batches
Wei Cao, Shanshan Wang
Streaming data, characterized by high volume, rapid arrival rates, and evolving distributions, have become increasingly prevalent in modern applications. Developing efficient and r…
Robust optimal reconciliation for hierarchical time series forecasting with M-estimation
Zhichao Wang, Shanshan Wang, Wei Cao +1
Aggregation constraints, arising from geographical or sectoral division, frequently emerge in a large set of time series. Coherent forecasts of these constrained series are anticip…
Renewable estimation in linear expectile regression models with streaming data sets
Wei Cao, Shanshan Wanga, Xiaoxue Hua
Streaming data often exhibit heterogeneity due to heteroscedastic variances or inhomogeneous covariate effects. Online renewable quantile and expectile regression methods provide v…
Neural Networks for Censored Expectile Regression Based on Data Augmentation
Wei Cao, Shanshan Wang
Expectile regression neural networks (ERNNs) are powerful tools for capturing heterogeneity and complex nonlinear structures in data. However, most existing research has primarily…