2 citations · 3 across the 6 of their papers we have counts for
6 papers
Likelihood-based Nonparametric Receiver Operating Characteristic Curve Analysis in the Presence of Imperfect Reference Standard
Yifan Sun, Peijun Sang, Qinglong Tian +1
In diagnostic studies, researchers frequently encounter imperfect reference standards with some misclassified labels. Treating these as gold standards can bias receiver operating c…
Restricted Tweedie Stochastic Block Models
Jie Jian, Mu Zhu, Peijun Sang
The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. Howeve…
A Bayesian Collocation Integral Method for Parameter Estimation in Ordinary Differential Equations
Mingwei Xu, Samuel W. K. Wong, Peijun Sang
Inferring the parameters of ordinary differential equations (ODEs) from noisy observations is an important problem in many scientific fields. Currently, most parameter estimation m…
Stopping time detection of wood panel compression: A functional time series approach
H. L. Shang, J. Cao, P. Sang
We consider determining the optimal stopping time for the glue curing of wood panels in an automatic process environment. Using the near-infrared spectroscopy technology to monitor…
Two Gaussian regularization methods for time-varying networks
Jie Jian, Peijun Sang, Mu Zhu
We model time-varying network data as realizations from multivariate Gaussian distributions with precision matrices that change over time. To facilitate parameter estimation, we re…
Continuum centroid classifier for functional data
Zhiyang Zhou, Peijun Sang
Aiming at the binary classification of functional data, we propose the continuum centroid classifier (CCC) built upon projections of functional data onto one specific direction. Th…