Local influence for elliptical partially varying-coefficient model

DOI10.1177/1471082X17728770OpenAlexW2763196650MaRDI QIDQ5142202

Sebastián Reyes, Germán Ibacache-Pulgar

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x17728770

zbMATH Keywords

sensitivity analysisrobust estimatesmaximum penalized likelihood estimatespartially varying-coefficients models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

A stochastic approximation ECME algorithm to semi-parametric scale mixtures of centred skew normal regression models, Unnamed Item

Uses Software

• GAMLSS

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Influence diagnostics and outlier tests for varying coefficient mixed models
• Local influence for Student-\(t\) partially linear models
• Derivatives diagnostics and robustness for smoothing splines
• Hedonic housing prices and the demand for clean air
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Influence diagnostics in semiparametric regression models.
• Semiparametric additive models under symmetric distributions
• On diagnostics in symmetrical nonlinear models
• Penalized Likelihood for General Semi-Parametric Regression Models
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• Conformal Normal Curvature and Assessment of Local Influence
• Generalized additive models for longitudinal data
• Influence Diagnostics and Outlier Tests for Semiparametric Mixed Models
• Influence Diagnostics for Elliptical Multivariate Linear Regression Models
• Local Influence Analysis for Penalized Gaussian Likelihood Estimators in Partially Linear Models
• Influence diagnostics for elliptical semiparametric mixed models
• Generalized Additive Models for Location, Scale and Shape