Extended lasso-type MARS (LMARS) model in the description of biological network

DOI10.1080/00949655.2018.1531414OpenAlexW2896806613MaRDI QIDQ5107305

Vilda Purutçuoğlu, Melih Ağraz

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2018.1531414

zbMATH Keywords

copulaMonte Carlo simulationsGaussian graphical modelbiological networksmultivariate adaptive regression splinesinteraction effects

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Long-tailed graphical model and frequentist inference of the model parameters for biological networks ⋮ Novel model selection criteria for LMARS: MARS designed for biological networks ⋮ Vine copula graphical models in the construction of biological networks

Uses Software

• glasso
• CMARS
• QUIC

Cites Work

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• Inference of the stochastic MAPK pathway by modified diffusion bridge method
• A SINful approach to Gaussian graphical model selection
• High-dimensional graphs and variable selection with the Lasso
• On measures of dependence
• Model selection and estimation in the Gaussian graphical model
• Nonlinear Modeling of Time Series Using Multivariate Adaptive Regression Splines (MARS)
• MARS as an alternative approach of Gaussian graphical model for biochemical networks
• Bayesian Inference for Stochastic Kinetic Models Using a Diffusion Approximation

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