Functional data analysis (FDA) is a branch of statistics that analyses data providing information about curves, surfaces or anything else varying over a continuum. In its most general form, under an FDA framework, each sample element of functional data is considered to be a random function. The physical continuum over which these functions are defined is often time, but may also be spatial location, wavelength, probability, etc. Intrinsically, functional data are infinite dimensional. The high intrinsic dimensionality of these data brings challenges for theory as well as computation, where these challenges vary with how the functional data were sampled. However, the high or infinite dimensional structure of the data is a rich source of information and there are many interesting challenges for research and data analysis.
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Functionaldataanalysis (FDA) is a branch of statistics that analyses data providing information about curves, surfaces or anything else varying over...
Functional principal component analysis (FPCA) is a statistical method for investigating the dominant modes of variation of functionaldata. Using this...
Ramsay of McGill University, who is also regarded as the founder of functionaldataanalysis. MDS algorithms fall into a taxonomy, depending on the meaning...
Functional regression is a version of regression analysis when responses or covariates include functionaldata. Functional regression models can be classified...
computer science, a purely functionaldata structure is a data structure that can be directly implemented in a purely functional language. The main difference...
In applied mathematics, topological dataanalysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information...
in financial analysis, and XQuery/XSLT for XML. Domain-specific declarative languages like SQL and Lex/Yacc use some elements of functional programming...
Functional testing can evaluate compliance to functional requirements. Sometimes, functional testing is a quality assurance (QA) process. Functional testing...
Efficient Data Acquisition (2012), Spatial and Spatio-Temporal Geostatistical Modeling and Kriging (2015), or Geostatistical FunctionalDataAnalysis (2021)...
Functional magnetic resonance imaging or functional MRI (fMRI) measures brain activity by detecting changes associated with blood flow. This technique...
envelope. To construct a functional boxplot, data ordering is the first step. In functionaldataanalysis, each observation is a real function, therefore...
Analysis of Functional NeuroImages (AFNI) is an open-source environment for processing and displaying functional MRI data—a technique for mapping human...
Analyse-it – software Analysis of categorical dataAnalysis of covariance Analysis of molecular variance Analysis of rhythmic variance Analysis of variance Analytic...
Functional programming may use persistent non-purely functionaldata structures, while those data structures may not be used in purely functional programs...
component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory dataanalysis, visualization and data preprocessing...
open-source implementation of DTW-AROW is available in Python. In functionaldataanalysis, time series are regarded as discretizations of smooth (differentiable)...
Functional job analysis (FJA) is a method of job analysis that was developed by the Employment and Training Administration of the United States Department...
Dark dataData (computer science) Data acquisition DataanalysisData bank Data cable Data curation Data domain Data element Data farming Data governance...
exploratory dataanalysis, and a common technique for statistical dataanalysis, used in many fields, including pattern recognition, image analysis, information...
with the simulation Business analysis Business process reengineering Creative brief Data modeling Design brief Functional requirements Information technology...
observed data; how they can be used as part of statistical inference, particularly where several different quantities are of interest to the same analysis. Certain...
data flow diagrams, control flow diagrams, Gantt charts, PERT diagrams, and IDEF. FFBDs are also referred to as functional flow diagrams, functional block...
used in non-parametric regression, semiparametric regression and functionaldataanalysis. In parametric modeling, variance functions take on a parametric...
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