functional data analysis (FDA)
Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach
... retrieved data are damaged due to sensor ...dive data with different sampling ...the analysis of simulated data ...the functional data analysis is more resilient to ...
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A New Concept to Calibrate and Evaluate a Hydrological Model Based on Functional Data Analysis.
... The functional framework introduced by Ramsay and Silverman (2002; 2005) allows the study and performance of statistical analysis on such data ...functions). Functional data ...
7
Functional Data Analysis applied to biomedical signal variability
... the analysis of inter individual variability, allowing the clustering of ...and analysis, is making a distinction on what is ...of Functional Data Analysis (FDA), since the data ...
8
Functional data analysis applied to the multi-spectral correlated– k distribution model
... However, the main theoretical defect of the Ck model for applica- tions in non-uniform media is that band intervals are treated as a whole, without any verification of the correlation assumption. This leads to the ...
15
Constrained variable clustering and the best basis problem in functional data analysis
... in functional data analysis Fabrice Rossi and Yves Lechevallier Abstract Functional data analysis involves data described by regular functions rather than by a finite ...
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Application of Functional Data Analysis to Identify Patterns of Malaria Incidence, to Guide Targeted Control Strategies
... on functional data analysis to identify patterns of malaria incidence to guide effective targeting of malaria control in a seasonal transmission ...Using functional data method, a ...
24
Functional Principal Component Analysis of Aircraft Trajectories
... Keywords. Functional Data Analysis, Principal Component Analysis, Random Varia- ble, Karhunen-Lo` eve Decomposition, Dimension Reduction, Registration ...Component Analysis (PCA) was ...
34
Operator-valued Kernels for Learning from Functional Response Data
... with data in infinite-dimensional spaces, it does not appear to be commonplace for machine ...not functional data, and a machine learning algorithm can process only finitely represented ...of ...
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Nonparametric Estimation for Functional Data by Wavelet Thresholding
... of data collection devices, there is a growing number of applied sciences (biometrics, chemometrics, meteo- rology, medical ...collected data are curves which require appropriate statistical ...this, ...
22
Co-Clustering of Multivariate Functional Data for the Analysis of Air Pollution in the South of France
... 1.2 Functional co-clustering The aim of this work is to study the environmental database, constituted by 3 pollution and 2 weather-related variables, in order to identify spatio-temporal clusters representing ...
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Interpretable sparse sliced inverse regression for functional data
... for functional data ...the functional regression model in which a real random variable has to be predicted from functional ...high-dimensional data which computes a linear projection of ...
2
LISA Pathfinder data analysis
... In addition to the simple analytical models, we have also developed an object- oriented modelling infrastructure within the LISA Technology Package Data Analysis toolbox (LTPDA) which uses a state-space ...
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Data Pre-Processing and Intelligent Data Analysis
... The data is generated from the aircraft when it is either on the ground or in a ...The data consists of several groups, three of which are: (i) logs of aircraft operation prob- lems or snags ...parametric ...
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Data analysis of a Google data center
... On Fig. 2, where the x-axis and the y-axis are represented with a log base 2 scale, we notice that lots of CPU and memory requests are ”aligned”. This means that some specific values are preferred over the other. An ...
3
MasterPATH: network analysis of functional genomics screening data
... of functional genomics data sets, inferring molecular machinery underlying a given biological process, have been developed in the past decade, and can be roughly grouped into two ...pathways analysis ...
13
Accelerated Data-Flow Analysis
... this approach has been developped in [TG07] for interval constraint solving with full addition, multiplication and intersection. Strategy iteration may be viewed as an instance of our generic flattening-based ...
21
Comparative functional analysis of the human macrophage chitotriosidase
... a linear NaCl (0–1M) gradient. The active fractions eluted at 600 mM NaCl were pooled and dialyzed against Buffer B (50 mM sodium phosphate buffer, 150 mM NaCl, pH 7.5) for the second purification step on an ...
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Exploratory functional flood frequency analysis and outlier detection
... OT i = d(z i , Z), Z = {z j ∈ R 2 ; j = 1, ..., n } (15) where d(., .) is the halfspace depth function introduced by Tukey (1975). Tukey’s depth function 354 at z i is defined as the smallest number of data points ...
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Ciliary Functional Analysis: Beating a path towards standardisation
... Ciliary functional analysis: Beating a path towards standardization C Kempeneers 1 , C Seaton 2 , B Garcia Espinosa 2 , MA Chilvers 2 1 Pediatric Respirology, Department of Pediatrics, University Hospital ...
2
Computational methods for functional interpretation of diverse omics data
... omics analysis approach to capture the shared genetic and pathway-level signals that form the basis of the co-occurrence of ASD with other ...genetic data from heterogeneous sources in a statistically ...
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