Data-driven choice of a model selection method in joinpoint regression
From MaRDI portal
Publication:6109769
DOI10.1080/02664763.2022.2063265OpenAlexW4224117459MaRDI QIDQ6109769
Unnamed Author, Eric J. Feuer, Douglas Midthune, Donald P. Green, Dennis W. Buckman, Unnamed Author, Huann-Sheng Chen, Hyune-Ju Kim, Bill Wheeler
Publication date: 28 July 2023
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291945
Bayesian information criterionchange-pointweightedprobability of correct selectionsegmented line regression
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Change-point model selection via AIC
- Model selection by LASSO methods in a change-point model
- Application of modified information criterion to multiple change point problems
- Consistent model selection in segmented line regression
- Simultaneous change point analysis and variable selection in a regression problem
- An MDL approach to the climate segmentation problem
- Estimating the number of change-points via Schwarz' criterion
- Estimating the dimension of a model
- Testing for the number of change points in a sequence of exponential random variables
- Inference in segmented line regression: a simulation study
- Estimating and Testing Linear Models with Multiple Structural Changes
- A modified information criterion for tuning parameter selection in 1d fused LASSO for inference on multiple change points
- A Modified Bayes Information Criterion with Applications to the Analysis of Comparative Genomic Hybridization Data
- Modeling Reporting Delays and Reporting Corrections in Cancer Registry Data
- Bayesian Model Selection for Join Point Regression with Application to Age-Adjusted Cancer Rates
- A new look at the statistical model identification
This page was built for publication: Data-driven choice of a model selection method in joinpoint regression
