Results 11 to 20 of about 3,667,449 (266)
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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FUNCTIONAL MODELLING OF TELECOMMUNICATIONS DATA
Mathematical Modelling and Analysis, 2022 This work deals with statistical modeling and forecasting of telecommunications data. Main mobile traffic events (SMS, Voice calls, Mobile data) are smoothed using B-spline functions and later analyzed in a functional framework. Functional linear auto-regression models are fitted using both bottom-up and topdown design methodologies. The advantages and
Birbilas, Algimantas +1 more
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Functional anonymisation: Personal data and the data environment [PDF]
Computer Law & Security Review, 2018 Anonymisation of personal data has a long history stemming from the expansion of the types of data products routinely provided by National Statistical Institutes. Variants on anonymisation have received serious criticism reinforced by much-publicised apparent failures.
Mark J. Elliot +8 more
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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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Longitudinal functional data analysis [PDF]
Stat, 2015 We consider dependent functional data that are correlated because of a longitudinal‐based design: each subject is observed at repeated times and at each time, a functional observation (curve) is recorded. We propose a novel parsimonious modelling framework for repeatedly observed functional observations that allows to extract low‐dimensional features ...
Park, So Young, Staicu, Ana-Maria
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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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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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Functional data clustering: a survey [PDF]
Advances in Data Analysis and Classification, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jacques, Julien, Preda, Cristian
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Combining Entropy Measures for Anomaly Detection
Entropy, 2018 The combination of different sources of information is a problem that arises in several situations, for instance, when data are analysed using different similarity measures.
Alberto Muñoz +3 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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