13 papers
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…
Generalized Bayesian Multidimensional Scaling and Model Comparison
Jiarui Zhang, Jiguo Cao, Liangliang Wang
Multidimensional scaling (MDS) is widely used to reconstruct a low-dimensional representation of high-dimensional data while preserving pairwise distances. However, Bayesian MDS ap…
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…
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…
Convolution-smoothing based locally sparse estimation for functional quantile regression
Hua Liu, Boyi Hu, Jinhong You +1
Motivated by an application to study the impact of temperature, precipitation and irrigation on soybean yield, this article proposes a sparse semi-parametric functional quantile mo…
Dynamic Survival Prediction using Longitudinal Images based on Transformer
Bingfan Liu, Haolun Shi, Jiguo Cao
Survival analysis utilizing multiple longitudinal medical images plays a pivotal role in the early detection and prognosis of diseases by providing insight beyond single-image eval…