Univariate dynamic screening system: an approach for identifying individuals with irregular longitudinal behavior
In our daily lives, we often need to identify individuals whose longitudinal behavior is
different from the behavior of those well-functioning individuals, so that some unpleasant …
different from the behavior of those well-functioning individuals, so that some unpleasant …
Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data
Nonparametric independence screening and structure identification for ultra-high dimensional
longitudinal data Page 1 The Annals of Statistics 2014, Vol. 42, No. 5, 1819–1849 DOI …
longitudinal data Page 1 The Annals of Statistics 2014, Vol. 42, No. 5, 1819–1849 DOI …
Phase I monitoring of serially correlated nonparametric profiles by mixed‐effects modeling
Q Zhou, P Qiu - Quality and Reliability Engineering International, 2022 - Wiley Online Library
Profile monitoring is an active research area in statistical process control (SPC) because it
has many important applications in manufacturing and other industries. Early profile …
has many important applications in manufacturing and other industries. Early profile …
Robust functional principal component analysis for non-Gaussian longitudinal data
R Zhong, S Liu, H Li, J Zhang - Journal of Multivariate Analysis, 2022 - Elsevier
Functional principal component analysis is essential in functional data analysis, but the
inference will become unconvincing when non-Gaussian characteristics occur (eg, heavy …
inference will become unconvincing when non-Gaussian characteristics occur (eg, heavy …
Nonparametric dynamic screening system for monitoring correlated longitudinal data
J Li, P Qiu - IIE Transactions, 2016 - Taylor & Francis
In many applications, including the early detection and prevention of diseases and
performance evaluation of airplanes and other durable products, we need to sequentially …
performance evaluation of airplanes and other durable products, we need to sequentially …
Nested hierarchical functional data modeling and inference for the analysis of functional plant phenotypes
Y Xu, Y Li, D Nettleton - Journal of the American Statistical …, 2018 - Taylor & Francis
In a plant science Root Image Study, the process of seedling roots bending in response to
gravity is recorded using digital cameras, and the bending rates are modeled as functional …
gravity is recorded using digital cameras, and the bending rates are modeled as functional …
Model selection for correlated data with diverging number of parameters
H Cho, A Qu - Statistica Sinica, 2013 - JSTOR
High-dimensional longitudinal data arise frequently in biomedical and genomic research. It
is important to select relevant covariates when the dimension of the parameters diverges as …
is important to select relevant covariates when the dimension of the parameters diverges as …
Nonparametric regression analysis of multivariate longitudinal data
Multivariate longitudinal data are common in medical, industrial, and social science
research. However, statistical analysis of such data in the current literature is restricted to …
research. However, statistical analysis of such data in the current literature is restricted to …
Surveillance of cardiovascular diseases using a multivariate dynamic screening system
In the SHARe Framingham Heart Study of the National Heart, Lung and Blood Institute, one
major task is to monitor several health variables (eg, blood pressure and cholesterol level) …
major task is to monitor several health variables (eg, blood pressure and cholesterol level) …
Process monitoring ROC curve for evaluating dynamic screening methods
In practice, we often need to sequentially monitor the performance of individual subjects or
processes, so that interventions can be made in a timely manner to avoid unpleasant …
processes, so that interventions can be made in a timely manner to avoid unpleasant …