Results 21 to 30 of about 3,633,355 (289)
Functional factor analysis for periodic remote sensing data [PDF]
, 2012 We present a new approach to factor rotation for functional data. This is achieved by rotating the functional principal components toward a predefined space of periodic functions designed to decompose the total variation into components that are nearly ...
Friedl, Mark +3 more
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Intrinsic Riemannian functional data analysis [PDF]
The Annals of Statistics, 2019 In this work we develop a novel and foundational framework for analyzing general Riemannian functional data, in particular a new development of tensor Hilbert spaces along curves on a manifold. Such spaces enable us to derive Karhunen-Loeve expansion for Riemannian random processes.
Lin, Zhenhua, Yao, Fang
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An improved parser for data-oriented lexical-functional analysis [PDF]
, 2000 We present an LFG-DOP parser which uses fragments from LFG-annotated sentences to parse new sentences. Experiments with the Verbmobil and Homecentre corpora show that (1) Viterbi n best search performs about 100 times faster than Monte Carlo search while
Bod, Rens
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Modeling On-Line Art Auction Dynamics Using Functional Data Analysis [PDF]
, 2006 In this paper, we examine the price dynamics of on-line art auctions of modern Indian art using functional data analysis. The purpose here is not just to understand what determines the final prices of art objects, but also the price movement during the ...
Dass, Mayukh, Reddy, Srinivas K.
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Maximal autocorrelation functions in functional data analysis [PDF]
Statistics and Computing, 2015 This paper proposes a new factor rotation for the context of functional principal components analysis. This rotation seeks to re-represent a functional subspace in terms of directions of decreasing smoothness as represented by a generalized smoothing metric.
Hooker, Giles, Roberts, Steven
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Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation [PDF]
, 2010 We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into $K$ clusters and represents each cluster by a simple prototype (e.g., piecewise constant).
Abraham +23 more
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Functional Data Analysis of Dynamic PET Data [PDF]
Journal of the American Statistical Association, 2018 One application of positron emission tomography (PET), a nuclear imaging technique, in neuroscience involves in vivo estimation of the density of various proteins (often, neuroreceptors) in the brain. PET scanning begins with the injection of a radiolabeled tracer that binds preferentially to the target protein; tracer molecules are then continuously ...
Yakuan Chen +2 more
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Mathematics, 2023 This study proposes an intensive longitudinal functional model with multiple time-varying scales and subject-specific random intercepts through mixed model equivalence that includes multiple functional predictors, one or more scalar covariates, and one ...
Mostafa Zahed +2 more
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Air quality investigation using functional data analysis methods
Lietuvos Matematikos Rinkinys, 2023 In this research paper, a comprehensive analysis of particulate matter (PM10) and nitrogen dioxide (NO2) pollution concentrations in six different Lithuanian regions is presented.
Akvilė Vitkauskaitė, Milda Salytė
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Frontiers in Cardiovascular MedicineBackgroundThe mechanism by which combined oral contraceptives (COCs) lead to hypercoagulation is not fully understood, although activated protein C (APC) pathway resistance has been implicated.
Marisa Ninivaggi +6 more
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