Time series of functional data with application to yield curves
Sign Up to like & getrecommendations! Published in 2019 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2443
Abstract: Correspondence Rituparna Sen, Applied Statistics Division, Indian Statistical Institute, Kolkata, India. Email: [email protected] Abstract We develop time series analysis of functional data observed discretely, treating the whole curve as a random realization from a distribution… read more here.
Keywords: time; time series; yield curves; functional data ... See more keywords
Scalable multiple changepoint detection for functional data sequences
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DOI: 10.1002/env.2710
Abstract: We propose the Multiple Changepoint Isolation (MCI) method for detecting multiple changes in the mean and covariance of a functional process. We first introduce a pair of projections to represent the high and low frequency… read more here.
Keywords: changepoint; multiple changepoint; detection functional; changepoint detection ... See more keywords
Depthgram: Visualizing outliers in high-dimensional functional data with application to fMRI data exploration.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9342
Abstract: Functional magnetic resonance imaging (fMRI) is a non-invasive technique that facilitates the study of brain activity by measuring changes in blood flow. Brain activity signals can be recorded during the alternate performance of given tasks,… read more here.
Keywords: brain activity; dimensional functional; functional data; fmri data ... See more keywords
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9353
Abstract: Scientific progress has contributed to creating many devices to gather vast amounts of biomedical data over time. The goal of these devices is generally to monitor people's health conditions, diagnose, and prevent patients' diseases, for… read more here.
Keywords: supervised classification; biomedical signals; classification; functional data ... See more keywords
Modeling the evolution of deaths from infectious diseases with functional data models: The case of COVID‐19 in Brazil
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DOI: 10.1002/sim.9654
Abstract: In this paper, we apply statistical methods for functional data to explore the heterogeneity in the registered number of deaths of COVID‐19, over time. The cumulative daily number of deaths in regions across Brazil is… read more here.
Keywords: number deaths; evolution deaths; functional data; modeling evolution ... See more keywords
Multivariate functional data clustering using adaptive density peak detection
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DOI: 10.1002/sim.9687
Abstract: Clustering for multivariate functional data is a challenging problem since the data are represented by a set of curves and functions belonging to an infinite‐dimensional space. In this article, we propose a novel clustering method… read more here.
Keywords: adaptive density; density; multivariate functional; functional data ... See more keywords
On mean derivative estimation of longitudinal and functional data: from sparse to dense
Sign Up to like & getrecommendations! Published in 2020 at "Statistical Papers"
DOI: 10.1007/s00362-020-01173-5
Abstract: Derivative estimation of the mean of longitudinal and functional data is useful, because it provides a quantitative measure of changes in the mean function that can be used for modeling of the data. We propose… read more here.
Keywords: longitudinal functional; mean function; method; derivative estimation ... See more keywords
Facing Network Management Challenges with Functional Data Analysis: Techniques & Opportunities
Sign Up to like & getrecommendations! Published in 2017 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-016-0733-5
Abstract: Current fixed and mobile networks’ behavior is rapidly changing, which calls for flexible monitoring approaches to avoid loosing track with such a fast evolutionary pace. Due to the many challenges that this scenario is posing… read more here.
Keywords: network; data analysis; analysis; network management ... See more keywords
Erratum to: Fast covariance estimation for sparse functional data
Sign Up to like & getrecommendations! Published in 2018 at "Statistics and Computing"
DOI: 10.1007/s11222-017-9768-0
Abstract: The article, “Fast covariance estimation for sparse functional data”, written by Luo Xiao, Cai Li, William Checkley and Ciprian Crainiceanu, was originally published electronically on the publisher’s Internet portal (currently SpringerLink) on 11 April 2017… read more here.
Keywords: sparse functional; fast covariance; covariance estimation; estimation sparse ... See more keywords
Robust simultaneous inference for the mean function of functional data
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DOI: 10.1007/s11749-018-0598-y
Abstract: A robust framework is proposed, based on polynomial spline estimation technique, for the estimation of the mean function of dense functional data, together with a simultaneous confidence band for the mean function. The robust simultaneous… read more here.
Keywords: simultaneous inference; robust simultaneous; mean function; inference mean ... See more keywords
Breathing patterns recognition: a Functional Data Analysis approach
Sign Up to like & getrecommendations! Published in 2022 at "Computer Methods and Programs in Biomedicine"
DOI: 10.1016/j.cmpb.2022.106670
Abstract: BACKGROUND AND OBJECTIVE: The ongoing pandemic proved fundamental is to assess a subject's respiratory functionality and breathing pattern measurement during quiet breathing is feasible in almost all patients, even those uncooperative. Breathing pattern consists of… read more here.
Keywords: breathing; functional data; data analysis; volume ... See more keywords