A Bayesian growth mixture model for complex survey data: Clustering postdisaster PTSD trajectories
R Anthopolos, Q Chen, J Sedransk… - The Annals of Applied …, 2023 - projecteuclid.org
A Bayesian growth mixture model for complex survey data: Clustering postdisaster PTSD
trajectories Page 1 The Annals of Applied Statistics 2023, Vol. 17, No. 3, 2494–2514 https://doi.org/10.1214/23-AOAS1729 …
trajectories Page 1 The Annals of Applied Statistics 2023, Vol. 17, No. 3, 2494–2514 https://doi.org/10.1214/23-AOAS1729 …
Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes
Deep neural networks (DNNs) are often constructed under the closed-world assumption,
which may fail to generalize to the out-of-distribution (OOD) data. This leads to DNNs …
which may fail to generalize to the out-of-distribution (OOD) data. This leads to DNNs …
Mesh-clustered Gaussian process emulator for partial differential equation systems
CL Sung, W Wang, L Ding, X Wang - arXiv preprint arXiv:2301.10387, 2023 - arxiv.org
Partial differential equations (PDEs) have become an essential tool for modeling complex
physical systems. Such equations are typically solved numerically via mesh-based methods …
physical systems. Such equations are typically solved numerically via mesh-based methods …
Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems
CL Sung, W Wang, L Ding, X Wang - Technometrics, 2024 - Taylor & Francis
Partial differential equations (PDEs) have become an essential tool for modeling complex
physical systems. Such equations are typically solved numerically via mesh-based methods …
physical systems. Such equations are typically solved numerically via mesh-based methods …
Non-smooth Bayesian optimization in tuning scientific applications
Tuning algorithmic parameters to optimize the performance of large, complicated
computational codes is an important problem involving finding the optima and identifying …
computational codes is an important problem involving finding the optima and identifying …