Results 51 to 60 of about 17,164 (153)

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

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

Principal Nested Spheres for Time Warped Functional Data Analysis [PDF]

, 2013
There are often two important types of variation in functional data: the horizontal (or phase) variation and the vertical (or amplitude) variation. These two types of variation have been appropriately separated and modeled through a domain warping method
Lu, Xiaosun, Marron, J. S.
core  

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

Longitudinal Functional Data Analysis

, 2015
We consider analysis of dependent functional data that are correlated because of a longitudinal-based design: each subject is observed at repeated time visits and for each visit we record a functional variable.
Park, So Young, Staicu, Ana-Maria
core   +1 more source

Additional file 1 of Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors

Supplementary Material 1.
Zablocki, Rong W., Hartman, Sheri J., Di, Chongzhi, Zou, Jingjing, Carlson, Jordan A., Hibbing, Paul R., Rosenberg, Dori E., Greenwood-Hickman, Mikael Anne, Dillon, Lindsay, LaCroix, Andrea Z., Natarajan, Loki   +10 more
openaire   +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  

EXPLORATORY ANALYSIS OF REGIONALIZED VARIABLES WITH FUNCTIONAL METHODS ANÁLISIS EXPLORATORIO DE VARIABLES REGIONALIZADAS CON MÉTODOS FUNCIONALES

Revista Colombiana de Estadística, 2007
It is shown how summary statistics of functional data and functional principal components analysis (FPCA) can be used to evaluate the stationarity assumption considered in modeling of regionalized variables.
Giraldo Ramón
doaj  

Principal Component Analysis for Functional Data on Riemannian Manifolds and Spheres

, 2017
Functional data analysis on nonlinear manifolds has drawn recent interest. Sphere-valued functional data, which are encountered for example as movement trajectories on the surface of the earth, are an important special case.
Dai, Xiongtao, Müller, Hans-Georg
core  

Análisis exploratorio de variables regionalizadas con métodos funcionales Exploratory Analysis of Regionalized Variables with Functional Methods

Revista Colombiana de Estadística, 2007
Se muestra cómo las estadísticas descriptivas funcionales y el análisis en componentes principales funcional (ACPF) pueden emplearse en la evaluación empírica del supuesto de estacionariedad considerado en la modelación de variables regionalizadas.
RAMÓN GIRALDO
doaj