Results 11 to 20 of about 365,137 (249)

Fast Multilevel Functional Principal Component Analysis. [PDF]

J Comput Graph Stat, 2023
We introduce fast multilevel functional principal component analysis (fast MFPCA), which scales up to high dimensional functional data measured at multiple visits. The new approach is orders of magnitude faster than and achieves comparable estimation accuracy with the original MFPCA (Di et al., 2009).
Cui E, Li R, Crainiceanu CM, Xiao L.
europepmc   +4 more sources

Structured functional principal component analysis. [PDF]

Biometrics, 2015
Summary Motivated by modern observational studies, we introduce a class of functional models that expand nested and crossed designs. These models account for the natural inheritance of the correlation structures from sampling designs in studies where the fundamental unit is a function or image. Inference is based on functional quadratics
Shou H, Zipunnikov V, Crainiceanu CM, Greven S.   +3 more
europepmc   +6 more sources

Longitudinal Viral Load Clustering for People With HIV Using Functional Principal Component Analysis [PDF]

AIDS Research and Treatment
Discussion: The findings highlight the impact of continuous clustering in understanding the distinct viral profiles of PWH and emphasize the importance of tailored treatment and insights to target interventions for all PWH.
Yunqing Ma, Xueying Yang, Jiayang Xiao, Xiaoming Li, Bankole Olatosi, Jiajia Zhang   +5 more
doaj   +2 more sources

MFPCA: Multiscale Functional Principal Component Analysis. [PDF]

Proc AAAI Conf Artif Intell, 2019
We consider the problem of performing dimension reduction on heteroscedastic functional data where the variance is in different scales over entire domain. The aim of this paper is to propose a novel multiscale functional principal component analysis (MFPCA) approach to address such heteroscedastic issue.
Lin Z, Zhu H.
europepmc   +5 more sources

Kinetic characteristics of Wushu Changbing PiJi: decoupling sex-specific adaptive strategies via functional principal component analysis [PDF]

Frontiers in Sports and Active Living
BackgroundWushu Changbing PiJi is a representative striking action in Wushu long-weapon routines, with its most iconic form derived from the Ma's Tongbei Wushu school, whose staff techniques represent a direct lineage of the Ming Dynasty Shaolin staff ...
Pengfei Zheng, Yupeng Shen, Yue Sun, Shuxin Wang, Yiyi Qiu, Jiewei Ma, Huahong Sun, Lianzhen Ma   +7 more
doaj   +2 more sources

Rest-activity profiles among U.S. adults in a nationally representative sample: a functional principal component analysis [PDF]

International Journal of Behavioral Nutrition and Physical Activity, 2022
Background The 24-h rest and activity behaviors (i.e., physical activity, sedentary behaviors and sleep) are fundamental human behaviors essential to health and well-being.
Qian Xiao, Jiachen Lu, Jamie M. Zeitzer, Charles E. Matthews, Pedro F. Saint-Maurice, Cici Bauer   +5 more
doaj   +2 more sources

Functional principal component analysis for identifying the child growth pattern using longitudinal birth cohort data [PDF]

BMC Medical Research Methodology, 2022
Background Longitudinal studies are important to understand patterns of growth in children and limited in India. It is important to identify an approach for characterising growth trajectories to distinguish between children who have healthy growth and ...
Reka Karuppusami, Belavendra Antonisamy, Prasanna S. Premkumar   +2 more
doaj   +2 more sources

Functional principal component analysis and sparse-group LASSO to identify associations between biomarker trajectories and mortality among hospitalized SARS-CoV-2 infected individuals [PDF]

BMC Medical Research Methodology, 2023
Background A substantial body of clinical research involving individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evaluated the association between in-hospital biomarkers and severe SARS-CoV-2 outcomes, including ...
Tingyi Cao, Harrison T. Reeder, Andrea S. Foulkes   +2 more
doaj   +2 more sources

Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors [PDF]

International Journal of Behavioral Nutrition and Physical Activity
Background Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement and the latter measures body posture.
Rong W. Zablocki, Sheri J. Hartman, Chongzhi Di, Jingjing Zou, Jordan A. Carlson, Paul R. Hibbing, Dori E. Rosenberg, Mikael Anne Greenwood-Hickman, Lindsay Dillon, Andrea Z. LaCroix, Loki Natarajan   +10 more
doaj   +2 more sources

Multilevel sparse functional principal component analysis. [PDF]

Stat, 2014
We consider analysis of sparsely sampled multilevel functional data, where the basic observational unit is a function and data have a natural hierarchy of basic units. An example is when functions are recorded at multiple visits for each subject. Multilevel functional principal component analysis was proposed recently for such data when functions are ...
Di C, Crainiceanu CM, Jank WS.
europepmc   +6 more sources