Results 11 to 20 of about 7,646,271 (290)
Longitudinal Functional Data Analysis [PDF]
Stat, 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
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Dependent Functional Data [PDF]
ISRN Probability and Statistics, 2012 This paper reviews recent research on dependent functional data. After providing an introduction to functional data analysis, we focus on two types of dependent functional data structures: time series of curves and spatially distributed curves. We review statistical models, inferential methodology, and possible extensions.
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CLUSTERING FUNCTIONAL DATA USING WAVELETS [PDF]
International Journal of Wavelets, Multiresolution and Information Processing, 2013 We present two strategies for detecting patterns and clusters in high-dimensional time-dependent functional data. The use on wavelet-based similarity measures, since wavelets are well suited for identifying highly discriminant local time and scale features.
Antoniadis, Anestis +3 more
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Categorical Functional Data Analysis. The cfda R Package
Mathematics, 2021 Categorical functional data represented by paths of a stochastic jump process with continuous time and a finite set of states are considered. As an extension of the multiple correspondence analysis to an infinite set of variables, optimal encodings of ...
Cristian Preda +2 more
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Risks, 2018 A functional ARMA-GARCH model for predicting the value-at-risk of the EURUSD exchange rate is introduced. The model implements the yield curve differentials between EUR and the US as exogenous factors. Functional principal component analysis allows us to
Holger Fink, Andreas Fuest, Henry Port
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Curve Registration of Functional Data for Approximate Bayesian Computation
Stats, 2021 Approximate Bayesian computation is a likelihood-free inference method which relies on comparing model realisations to observed data with informative distance measures.
Anthony Ebert +3 more
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Support vector machine for functional data classification [PDF]
, 2005 In many applications, input data are sampled functions taking their values in infinite dimensional spaces rather than standard vectors. This fact has complex consequences on data analysis algorithms that motivate modifications of them.
Aronszajn +40 more
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Functional Data Analysis of Tree Data Objects [PDF]
Journal of Computational and Graphical Statistics, 2014 Data analysis on non-Euclidean spaces, such as tree spaces, can be challenging. The main contribution of this article is establishment of a connection between tree-data spaces and the well-developed area of functional data analysis (FDA), where the data objects are curves.
Bhamidi, Shankar +5 more
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Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern China [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2017 valleys of mountainous regions in central Shandong Province in northern China, have been systematically tested and been compared with the YHC loess in the Loess Plateau to reveal the geochemical characteristics and material sources of LS loess.
Min Ding +4 more
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Bayesian function‐on‐function regression for multilevel functional data [PDF]
Biometrics, 2015 SummaryMedical and public health research increasingly involves the collection of complex and high dimensional data. In particular, functional data—where the unit of observation is a curve or set of curves that are finely sampled over a grid—is frequently obtained.
Meyer, Mark J +4 more
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