Statistics - Methodology

Estimating Treatment Effects in Continuous Time with Hidden Confounders
Estimating treatment effects plays a crucial role in causal inference, having many real-world applications like policy analysis and …
Cite DOI URL
Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling
In many applications of time series models, such as climate analysis and social media analysis, we are often interested in extreme …
Cite DOI URL