Novel model selection criteria for LMARS: MARS designed for biological networks
From MaRDI portal
Publication:5065300
DOI10.1080/00949655.2020.1870689OpenAlexW3136714289MaRDI QIDQ5065300
Gül Bahar Bülbül, Vilda Purutçuoğlu
Publication date: 18 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2020.1870689
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization
- Bayesian structure learning in sparse Gaussian graphical models
- A new approach to multivariate adaptive regression splines by using Tikhonov regularization and continuous optimization
- Copula Gaussian graphical models and their application to modeling functional disability data
- RCMARS: robustification of CMARS with different scenarios under polyhedral uncertainty set
- Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function
- Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
- Multivariate adaptive regression splines
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Estimating the dimension of a model
- Informational complexity criteria for regression models.
- Extended Bayesian information criteria for model selection with large model spaces
- Extended lasso-type MARS (LMARS) model in the description of biological network
- MARS as an alternative approach of Gaussian graphical model for biochemical networks
- On Information and Sufficiency
- A new look at the statistical model identification
This page was built for publication: Novel model selection criteria for LMARS: MARS designed for biological networks
