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Functional data analysis using deep neural networks
WIREs Computational StatisticsFunctional data analysis is an evolving field focused on analyzing data that reveals insights into curves, surfaces, or entities within a continuous domain.
Shuo-Yang Wang +3 more
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On semiparametric regression in functional data analysis
WIREs Computational Statistics, 2020The aim of this paper is to provide a selected advanced review on semiparametric regression which is an emergent promising field of researches in functional data analysis.
N. Ling, P. Vieu
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Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models
Environmental Modelling & Software, 2019Air temperature is a significant meteorological variable that affects social activities and economic sectors. In this paper, a non-parametric and a parametric approach are used to forecast hourly air temperature up to 24 h in advance.
S. Curceac +4 more
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A Functional Model for Data Analysis
2006We present a functional model for the analysis of large volumes of detailed transactional data, accumulated over time. In our model, the data schema is an acyclic graph with a single root, and data analysis queries are formulated using paths starting at the root.
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2001
Most statistical analyses involve one or more observations taken on each of a number of individuals in a sample, with the aim of making inferences about the general population from which the sample is drawn. In an increasing number of fields, these observations are curves or images.
Silverman, BW, Ramsay, JO
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Most statistical analyses involve one or more observations taken on each of a number of individuals in a sample, with the aim of making inferences about the general population from which the sample is drawn. In an increasing number of fields, these observations are curves or images.
Silverman, BW, Ramsay, JO
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Functional Data Analysis for Sparse Functional Data
2018With the development of science and modern technology, more and more data are being collected continuously over a time interval in various disciplines, such as public health, biology, medicine and finance. Such data can be viewed as ``functional data". Functional data analysis (FDA), which deals with the analysis and theory of functional data, has been
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Repeated measures analysis for functional data
Computational Statistics & Data Analysis, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pablo Martínez-Camblor, Norberto Corral
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2006
In many different fields of applied statistics the object of interest is depending on some continuous parameter, i.e. continuous time. Typical examples in biostatistics are growth curves or temperature measurements. Although for technical reasons, we are able to measure temperature just in discrete intervals — it is clear that temperature is a ...
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In many different fields of applied statistics the object of interest is depending on some continuous parameter, i.e. continuous time. Typical examples in biostatistics are growth curves or temperature measurements. Although for technical reasons, we are able to measure temperature just in discrete intervals — it is clear that temperature is a ...
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Hole analysis for functional coverage data
Proceedings 2002 Design Automation Conference (IEEE Cat. No.02CH37324), 2002One of the main goals of coverage tools is to provide the user with informative presentation of coverage information. Specifically, information on large, cohesive sets of uncovered tasks with common properties is very useful. This paper describes methods for discovering and reporting large uncovered spaces (holes) for cross-product functional coverage ...
Oded Lachish +3 more
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