Back propagation neural networks and multiple regressions in the case of heteroskedasticity

DOI10.1080/03610918.2016.1212066zbMath1385.62028OpenAlexW2509250947MaRDI QIDQ4607335

Chinmoy Paul, Gajendra K. Vishwakarma

Publication date: 13 March 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1212066

zbMATH Keywords

robustsimulationclusteringregressionartificial neural networkheteroskedasticity

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Neural nets and related approaches to inference from stochastic processes (62M45)

Cites Work

• AR parameter estimation by a feedback neural network
• Backfitting neural networks
• Multiple outlier detection in multivariate data using self-organizing maps
• Scale economies and production function estimation for object-oriented software component and source code documentation size
• Robust cluster-based multivariate outlier diagnostics and parameter estimation in regression analysis
• Least Median of Squares Regression
• An outlier-resistant test for heteroscedasticity in linear models
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