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Variable importance assessment in sliced inverse regression for variable selection
Communications in Statistics - Simulation and Computation, 2017The focus is on treating the relationship between a dependent variable $y$ and a $p$-dimensional covariate $x$ in a semiparametric regression model. Since the purpose of most social, biological or environmental science research is the explanation, the determination of the importance of the variables is a major concern.
Jlassi, Ines, Saracco, Jérôme
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A LINGUISTIC VARIABLE FOR IMPORTANCE OF FUZZY SETS
Journal of Cybernetics, 1980In this paper we introduce the concept of a linguistic variable for importance. This is done by defining its linguistic values as fuzzy subsets over the set of nonnegative numbers. Furthermore, we show how to modify a fuzzy subset by its importance. That is, if A is a fuzzy subset of X, and / is its importance, then A becomes AI which is also a fuzzy ...
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The Importance of Blood Pressure Variability
American Journal of Hypertension, 2021openaire +2 more sources
Journal of the Royal Statistical Society Series B: Statistical Methodology
Abstract In a non-parametric regression setting, we introduce a novel concept of ‘individual variable importance’, which assesses the relevance of certain covariates to an outcome variable among individuals with specific characteristics. This concept holds practical importance for both risk assessment and association identification.
Guorong Dai, Lingxuan Shao, Jinbo Chen
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Abstract In a non-parametric regression setting, we introduce a novel concept of ‘individual variable importance’, which assesses the relevance of certain covariates to an outcome variable among individuals with specific characteristics. This concept holds practical importance for both risk assessment and association identification.
Guorong Dai, Lingxuan Shao, Jinbo Chen
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A Test for Variable Importance
2018Statistical literature is being more and more concerned with debates about hypothesis testing and p-values supporting the significance of a given variable specification. Specifically, if on one hand statistical foundations about significance are not arguable, scholars should be able to distinguish between significance and variable importance. This is a
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A review and assessment of importance sampling methods for reliability analysis
Structural Safety, 2022Armin Tabandeh +2 more
exaly
Evaluating prostate needle biopsy: therapeutic and prognostic importance
Ca-A Cancer Journal for Clinicians, 1997David G Bostwick
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