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...

envelope. To construct a functional boxplot, data ordering is the first step. In functional data analysis, 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...

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...

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

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

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

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....

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...

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

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...

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

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

In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information...

Cluster analysis or clustering is the data analyzing technique in which task of grouping a set of objects in such a way that objects in the same group...

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

contour boxplot, data ordering is the first step. In functional data analysis, each observation is a real function, therefore data ordering is different...

common in logical and functional programming, as languages in those paradigms discourage (or fully forbid) the use of mutable data. In the partial persistence...

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

series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time...

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

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

instrumental variables, estimation of high-dimensional models, and functional data analysis. (Chen et al. 2014) He served as Co-Editor of tow of the leading...

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

the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis infers properties of...