Functional data analysis (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 functional data. Using this...

Ramsay of McGill University, who is also regarded as the founder of functional data analysis. MDS algorithms fall into a taxonomy, depending on the meaning...

data analysis Bayesian analysis Cluster analysis Combinatorial data analysis Formal concept analysis Functional data analysis Geometric data analysis Regression...

Distributional data analysis is a branch of nonparametric statistics that is related to functional data analysis. It is concerned with random objects...

Functional regression is a version of regression analysis when responses or covariates include functional data. Functional regression models can be classified...

in financial analysis, and XQuery/XSLT for XML. Domain-specific declarative languages like SQL and Lex/Yacc use some elements of functional programming...

Aggregate data collected from various sources are used in different areas of studies such as comparative political analysis and APD scientific analysis for...

computer science, a purely functional data structure is a data structure that can be directly implemented in a purely functional language. The main difference...

Data-flow analysis is a technique for gathering information about the possible set of values calculated at various points in a computer program. It forms...

classifier on a set of benchmark time series classification tasks. In functional data analysis, time series are regarded as discretizations of smooth (differentiable)...

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...

of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables....

envelope. To construct a functional boxplot, data ordering is the first step. In functional data analysis, each observation is a real function, therefore...

Functional job analysis (FJA) is a method of job analysis that was developed by the Employment and Training Administration of the United States Department...

Efficient Data Acquisition (2012), Spatial and Spatio-Temporal Geostatistical Modeling and Kriging (2015), or Geostatistical Functional Data Analysis (2021)...

Systems analysis and design (SAD) may refer to: Systems analysis, studying a system by examining its components and their interactions Structured data analysis...

Cluster analysis, or clustering, is a data analysis technique aimed at partitioning a set of objects into groups such that objects within the same group...

covered include copula modeling, functional data analysis, graphical modeling, high-dimensional data analysis, image analysis, multivariate extreme-value theory...

statistical computing and data visualization. It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science. The core...

Analysis of Functional NeuroImages (AFNI) is an open-source environment for processing and displaying functional MRI data—a technique for mapping human...

has been studied with the GFLM Functional additive models Functional data analysis Functional principal component analysis Generalized linear model Karhunen–Loève...

and converts it into actual purchase probabilities. Logit analysis defines the functional relationship between stated purchase intentions and preferences...

Functional magnetic resonance imaging or functional MRI (fMRI) measures brain activity by detecting changes associated with blood flow. This technique...

JSTOR 2289161. OSTI 1447861. Ramsay, J.O.; Silverman, J.O. (2005). Functional Data Analysis. Springer New York, NY. doi:10.1007/b98888. ISBN 978-0-387-40080-8...

systems. Aviation software (in combination with dynamic analysis). Automotive & Machines (functional safety features form an integral part of each automotive...

and stochastic geometry. He is known for contributions to the functional data analysis of random functions, operators, and measures. He has published...

co-author Bernard Silverman, he is widely recognized as the founder of functional data analysis. He wrote four influential books and over 100 peer-reviewed articles...

engineering, software engineering, and computer science, a function model or functional model is a structured representation of the functions (activities, actions...

component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing...