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A robust correlation coefficient for fermatean fuzzy sets based on spearman’s correlation measure with application to clustering and selection process
Fermatean fuzzy set (FFS) is an advance variant of fuzzy set applicable in curbing uncertainties and vagueness in complex decision making scenarios....
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Applicability of a novel Pythagorean fuzzy correlation coefficient in medical diagnosis, clustering, and classification problems
A Pythagorean fuzzy set outperforms fuzzy and intuitionistic fuzzy sets in solving uncertain issues. For comparing Pythagorean fuzzy sets,...
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Correlation coefficient measures and aggregation operators on interval-valued linear Diophantine fuzzy sets and their applications
Intuitionistic fuzzy sets, Pythagorean fuzzy sets, and q-rung orthopair fuzzy sets are rudimentary concepts in computational intelligence, which have...
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New Methods of Computing Correlation Coefficient Based on Pythagorean Fuzzy Information and Their Applications in Disaster Control and Diagnostic Analysis
Pythagorean fuzzy correlation coefficient (PFCC) is a trustworthy information measure to determine sundry real-world decision-making problems. Some...
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On a new picture fuzzy correlation coefficient with its applications to pattern recognition and identification of an investment sector
Picture fuzzy set is an efficient tool to realize the content of vagueness and uncertainty specifically in circumstances that could not be easily...
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Fermatean Fuzzy Type a Three-Way Correlation Coefficients
In challenging decision-making circumstances, tools like aggregation operators and information measures are routinely used. Using correlation...
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Feature Selection for High-Dimensional Varying Coefficient Models via Ordinary Least Squares Projection
Feature selection is a changing issue for varying coefficient models when the dimensionality of covariates is ultrahigh. The traditional technology...
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Jackknife Model Averaging for Quantile Single-Index Coefficient Model
In the past two decades, model averaging, as a way to solve model uncertainty, has attracted more and more attention. In this paper, the authors...
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Unified Variable Selection for Varying Coefficient Models with Longitudinal Data
Variable selection for varying coefficient models includes the separation of varying and constant effects, and the selection of variables with...
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Understanding Correlation and Regression Techniques
Structural equation modeling (SEM) uses the concept of multiple regression. SEM runs several multiple regression models simultaneously.
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Semi-Varying Coefficient Panel Data Model with Technical Indicators Predicts Stock Returns in Financial Market
Accurately predicting stock returns is a conundrum in financial market. Solving this conundrum can bring huge economic benefits for investors and...
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Robust Model Structure Recovery for Ultra-High-Dimensional Varying-Coefficient Models
As an important extension of the varying-coefficient model, the partially linear varying-coefficient model has been widely studied in the literature....
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Integer Programming Based Algorithms for Overlap** Correlation Clustering
Clustering is a fundamental problem in data science with diverse applications in biology. The problem has many combinatorial and statistical...
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Quantile Regression of Ultra-high Dimensional Partially Linear Varying-coefficient Model with Missing Observations
In this paper, we focus on the partially linear varying-coefficient quantile regression with missing observations under ultra-high dimension, where...
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On the Influence of a Dynamic Diffusion Coefficient with the Feibelman Parameter on the Quantum Nonlocal Effect of Hybrid Plasmon Nanoparticles
AbstractIn this paper, we consider the problem of polarized light scattering by a hybrid nanoparticle consisting of a dielectric core and plasmonic...
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Chapter 10: Canonical Correlation Analysis
The necessary theory for the study of Canonical Correlation Analysis has already been introduced in Chap. Chap. 1...
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Hybridizable discontinuous Galerkin reduced order model for the variable coefficient advection equation
In this paper, a hybridizable discontinuous Galerkin (HDG) model order reduction technique is proposed to solve the variable coefficient advection...
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Review of Approximations for the Exchange-Correlation Energy in Density-Functional Theory
In this chapter, we provide a review of the ground-state Kohn–Sham density-functional theory of electronic systems and some of its extensions, we...
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Testing for Error Correlation in Semi-Functional Linear Models
Existing methods for analyzing semi-functional linear models usually assumed that random errors are not serially correlated or serially correlated...
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Hellinger’s Distance and Correlation for a Subclass of Stable Distributions
AbstractWe investigated correlation retrieval procedure from Hellinger’s distance. We found monotone relation of Hellinger’s distance and positive...