Results 31 to 40 of about 2,322 (129)

Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data [PDF]

, 2015
We propose an estimation approach to analyse correlated functional data which are observed on unequal grids or even sparsely. The model we use is a functional linear mixed model, a functional analogue of the linear mixed model.
Cederbaum, Jona, Greven, Sonja, Hoole, Phil, Pouplier, Marianne   +3 more
core   +2 more sources

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

International Journal of Behavioral Nutrition and Physical Activity
Abstract 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
openaire   +5 more sources

Bayesian Estimation of Partial Functional Tobit Censored Quantile Regression Model. [PDF]

Stat Med
ABSTRACT The information extracted from imaging data has become increasingly important in disease diagnosis as it uncovers associations between imaging features and diseases of interest. This study proposes a partial functional Tobit censored quantile regression (PFTCQR) model to investigate the quantile‐specific relationships between the time of ...
Wang C, Lu Z, Wang C, Song X.
europepmc   +2 more sources

A New Approach to Statistical Inference for Functional Time Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT The analysis of time‐indexed functional data plays an important role in the field of business and economic statistics. In the literature, statistical inference for functional time series often involves reducing the dimension of functional data to a finite dimension K$$ K $$, followed by the use of tools from multivariate analysis.
Hanjia Gao, Yi Zhang, Xiaofeng Shao
wiley   +1 more source

Patterns of weight gain during the first half of pregnancy and risk of large newborns in women with insulin‐dependent diabetes mellitus

Pregnancy, Volume 2, Issue 2, March 2026.
Abstract Objective To identify patterns of gestational weight gain (pGWG) trajectories in the first 20 weeks of gestation and to determine the association of these patterns with the delivery of large‐for‐gestational‐age (LGA) infants among women with insulin‐dependent diabetes mellitus (IDDM).
Ketrell L. McWhorter, Katherine Bowers, Enas Ghulam, Rhonda D. Szczesniak, Shelley Ehrlich, Lawrence M. Dolan, Ranjan Deka, Menachem Miodovnik, Jane C. Khoury   +8 more
wiley   +1 more source

FUNCTIONAL PRINCIPAL COMPONENTS MODEL FOR HIGH-DIMENSIONAL BRAIN IMAGING [PDF]

, 2011
We establish a fundamental equivalence between singular value decomposition (SVD) and functional principal components analysis (FPCA) models. The constructive relationship allows to deploy the numerical efficiency of SVD to fully estimate the components ...
Caffo, Brian S, Crainiceanu, Ciprian, Davatzikos, Christos, Schwartz, Brian S., Yousem, David M., Zipunnikov, Vadim   +5 more
core   +1 more source

Degradation modeling applied to residual lifetime prediction using functional data analysis

, 2011
Sensor-based degradation signals measure the accumulation of damage of an engineering system using sensor technology. Degradation signals can be used to estimate, for example, the distribution of the remaining life of partially degraded systems and/or ...
Gebraeel, Nagi, Serban, Nicoleta, Zhou, Rensheng R.   +2 more
core   +1 more source

Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse and Fragmented Functional Data [PDF]

, 2020
Mathematical and Physical Sciences: 3rd Place (The Ohio State University Edward F. Hayes Graduate Research Forum)In many applications, smooth processes generate data that is recorded under a variety of observation regimes, such as dense sampling and ...
Matuk, James
core  

Predicting fatigue using countermovement jump force-time signatures: PCA can distinguish neuromuscular versus metabolic fatigue.

PLoS ONE, 2019
PurposeThis study investigated the relationship between the ground reaction force-time profile of a countermovement jump (CMJ) and fatigue, specifically focusing on predicting the onset of neuromuscular versus metabolic fatigue using the CMJ.MethodTen ...
Paul Pao-Yen Wu, Nicholas Sterkenburg, Kirsten Everett, Dale W Chapman, Nicole White, Kerrie Mengersen   +5 more
doaj   +1 more source

Dynamic functional principal components [PDF]

, 2012
In this paper, we address the problem of dimension reduction for sequentially observed functional data (X_k : k ∈ Z). Such functional time series arise frequently, e.g., when a continuous time process is segmented into some smaller natural units, such
Hallin, Marc, Hörmann, Siegfried, Kidzinski, Lukasz   +2 more
core