activity
20152026
most citedA Smooth and Locally Sparse Estimator for Functional Linear Regression via Functional SCAD Penalty

68 citations · 210 across the 41 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

stat.AP2026

Dynamic Latent Space Modeling of Inhomogeneous Poisson Network Processes with Applications to International Relations

Jie Jian, Jiguo Cao, Owen G. Ward

We study continuous-time relational event data, where time-stamped dyadic interactions reflect both individual node propensities and evolving relational proximity. We propose a dyn…

stat.ML2026

Functional Attentive Interpretable Regression

Haixu Wang, Tianyu Guan, Jiguo Cao

In function-on-function regression, the coefficient surface may exhibit complex support structure---from localized patches to global patterns such as disconnected regions,…

stat.ME2026

Estimation of Functional Principal Components from Sparse Functional Data

Uche Mbaka, Jiguo Cao, Michelle Carey

Sparse functional data arise when measurements are observed infrequently and at irregular time points for each subject, often in the presence of measurement error. These characteri…

cs.LG2026

Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge

Siying Ma, Mehrdad M. Zadeh, Mauricio Soroco +3

Recent advances in scientific machine learning (SciML) have enabled neural operators (NOs) to serve as powerful surrogates for modeling the dynamic evolution of physical systems go…

stat.ME2026

Locally sparse estimation for simultaneous functional quantile regression

Boyi Hu, Jiguo Cao

Motivated by the study of how daily temperature affects soybean yield, this article proposes a simultaneous functional quantile regression (FQR) model featuring a locally sparse bi…