Results 71 to 80 of about 17,400 (155)

Functional Principal Component Analysis for Non-stationary Dynamic Time Series [PDF]

, 2018
Motivated by a highly dynamic hydrological high-frequency time series, we propose time-varying Functional Principal Component Analysis (FPCA) as a novel approach for the analysis of non-stationary Functional Time Series (FTS) in the frequency domain ...
Elayouty, Amira, Miller, Claire, Scott, Marian, Waldron, Susan   +3 more
core  

Patterns of chronic ethanol drinking in male and female cynomolgus monkeys

Alcohol, Clinical and Experimental Research, Volume 50, Issue 2, February 2026.
These studies in male and female cynomolgus monkeys replicate previous findings of a predictive relationship between characteristics of drinking during schedule induction and later open‐access drinking. Sex differences in daily patterns of ethanol intake were identified that may inform treatment approaches.
Joshua N. Prete, Phillip M. Epperly, Emily A. Cronin, Althea P. Floge, Paul W. Czoty   +4 more
wiley   +1 more source

Wastewater-Based Epidemiology of Stimulant Drugs: Functional Data Analysis Compared to Traditional Statistical Methods.

PLoS ONE, 2015
BackgroundWastewater-based epidemiology (WBE) is a new methodology for estimating the drug load in a population. Simple summary statistics and specification tests have typically been used to analyze WBE data, comparing differences between weekday and ...
Stefania Salvatore, Jørgen Gustav Bramness, Malcolm J Reid, Kevin Victor Thomas, Christopher Harman, Jo Røislien   +5 more
doaj   +1 more source

Intraday forecasts of a volatility index: Functional time series methods with dynamic updating

, 2018
As a forward-looking measure of future equity market volatility, the VIX index has gained immense popularity in recent years to become a key measure of risk for market analysts and academics.
Kearney, Fearghal, Shang, Han Lin, Yang, Yang   +2 more
core   +1 more source

Plant height defined growth curves can predict end of season maize yield

The Plant Phenome Journal, Volume 8, Issue 1, December 2025.
Abstract The development of quick, easy, and low‐cost methods to quantify within‐field variation is essential to successful implementation of mid‐season management for precision agriculture at scale. Temporal plant height and growth rates collected with unoccupied aerial vehicles mounted with red, green, blue sensors have the potential to predict ...
Dorothy D. Sweet, Julian Cooper, Cory D. Hirsch, Candice N. Hirsch   +3 more
wiley   +1 more source

Utilizing BIC for the intelligent selection of functional data with principal components

Journal of Physics: Conference Series
Functional Principal Component Analysis (FPCA) is a technique for dimension reduction of functional data. Considering the impact of different data ownership, the paper innovatively proposes a weighted B-spline basis function and provides a continuous ...
Zhixuan Yu, Xiaolong Chai
semanticscholar   +1 more source

Clustering Longitudinal Data: A Review of Methods and Software Packages

International Statistical Review, Volume 93, Issue 3, Page 425-458, December 2025.
Summary Clustering of longitudinal data is becoming increasingly popular in many fields such as social sciences, business, environmental science, medicine and healthcare. However, it is often challenging due to the complex nature of the data, such as dependencies between observations collected over time, missingness, sparsity and non‐linearity, making ...
Zihang Lu
wiley   +1 more source

Identification of Regions of Interest in Neuroimaging Data With Irregular Boundary Based on Semiparametric Transformation Models and Interval‐Censored Outcomes

Statistics in Medicine, Volume 44, Issue 25-27, November 2025.
ABSTRACT Alzheimer's disease (AD) is a progressive neurodegenerative disorder that leads to memory loss, cognitive decline, and behavioral changes, without a known cure. Neuroimages are often collected alongside the covariates at baseline to forecast the prognosis of the patients.
Chun Yin Lee, Haolun Shi, Da Ma, Mirza Faisal Beg, Jiguo Cao   +4 more
wiley   +1 more source

Common Functional Principal Components [PDF]

Functional principal component analysis (FPCA) based on the Karhunen-Lo`eve decomposition has been successfully applied in many applications, mainly for one sample problems.
Alois Kneip, Michal Benko, Wolfgang Härdle   +2 more
core  

Deep Mixture of Linear Mixed Models for Complex Longitudinal Data

Statistics in Medicine, Volume 44, Issue 23-24, October 2025.
ABSTRACT Mixtures of linear mixed models are widely used for modeling longitudinal data for which observation times differ between subjects. In typical applications, temporal trends are described using a basis expansion, with basis coefficients treated as random effects varying by subject.
Lucas Kock, Nadja Klein, David J. Nott
wiley   +1 more source