On wavelet to select the parametric form of a regression model

DOI10.1080/03610918.2019.1610441zbMath1497.62163arXiv1809.11064OpenAlexW2893797783MaRDI QIDQ5082727

Adenice Gomes de Oliveira Ferreira, Eufrásio de Andrade Lima Neto, Aluísio S. Pinheiro

Publication date: 21 June 2022

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

Full work available at URL: https://arxiv.org/abs/1809.11064

zbMATH Keywords

nonlinear regressionlink functiongeneralized linear modelparametric regressionwavelet regression

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02)

Uses Software

• nlrwr

Cites Work

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• Choosing the link function and accounting for link uncertainty in generalized linear models using Bayes factors
• Wavelet estimation of partially linear models
• The effect of link misspecification on binary regression inference
• A theory for multiresolution signal decomposition: the wavelet representation
• Nonlinear Regression with R
• Transformation diagnostics for linear models
• Goodness of Link Tests for Generalized Linear Models
• Ten Lectures on Wavelets
• Wavelets in Functional Data Analysis
• Linear Model Selection by Cross-Validation

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