Nonparametric additive location-scale models for interval censored data

DOI10.1007/S11222-011-9292-6zbMath1322.62132OpenAlexW2046269847MaRDI QIDQ746253

Philippe Lambert

Publication date: 16 October 2015

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-011-9292-6

zbMATH Keywords

B-splinesnonparametric regressioninterval censored dataadditive modellocation-scale model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Censored data models (62N01)

Related Items (5)

Flexible estimation in cure survival models using Bayesian P-splines ⋮ Bayesian penalized smoothing approaches in models specified using differential equations with unknown error distributions ⋮ Semi-parametric frailty model for clustered interval-censored data ⋮ Nonparametric double additive cure survival models: An application to the estimation of the non-linear effect of age at first parenthood on fertility progression ⋮ Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data

Uses Software

• GAMLSS
• Fahrmeir

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Robust specification of the roughness penalty prior distribution in spatially adaptive Bayesian P-splines models
• Bayesian density estimation from grouped continuous data
• Smooth semiparametric and nonparametric Bayesian estimation of bivariate densities from bivariate histogram data
• Empirical process approach in a two-sample location-scale model with censored data
• Transfer of tail information in censored regression models
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Generalized structured additive regression based on Bayesian P-splines
• Composite Link Functions in Generalized Linear Models
• Analysing Financial Returns by Using Regression Models Based on Non-Symmetric Stable Distributions
• Practical Bayesian Density Estimation Using Mixtures of Normals
• Generalized Additive Models for Location, Scale and Shape
• Multivariate statistical modelling based on generalized linear models.
• An adaptive Metropolis algorithm

This page was built for publication: Nonparametric additive location-scale models for interval censored data