An exponential-type kernel robust regression model for interval-valued variables

DOI10.1016/j.ins.2018.05.008zbMath1447.62051OpenAlexW2803037497WikidataQ115571886 ScholiaQ115571886MaRDI QIDQ2195308

Eufrásio de A. Lima Neto, Francisco de. A. T. de Carvalho

Publication date: 8 September 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2018.05.008

zbMATH Keywords

outliersinterval-valued variablesexponential-type kernel functionsrobust regression modelswidth hyper-parameter estimators

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric robustness (62G35) Statistics of extreme values; tail inference (62G32)

Related Items (7)

Dynamic time series smoothing for symbolic interval data applied to neuroscience ⋮ An interval feature discrete grey-Markov model based on data distributions and applications ⋮ Robust regression for interval-valued data based on midpoints and log-ranges ⋮ Parametrized linear regression for boxplot-multivalued data applied to the Brazilian electric sector ⋮ Multi-variable grey model based on dynamic background algorithm for forecasting the interval sequence ⋮ A novel multivariate grey model for forecasting the sequence of ternary interval numbers ⋮ Bivariate elliptical regression for modeling interval-valued data

Uses Software

• robustbase

Cites Work

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