Nature

Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP–SNP interactions and their application in prostate cancer

Single nucleotide polymorphism (SNP) interaction plays a critical role for complex diseases. The primary limitation of logistic regressions (LR) in testing SNP–SNP interactions is that coefficient ...
GitHub

Multivariate-Adaptive-Regression-Splines-MARS

The MarsProject package facilitates regression modeling with multiple input variables using the Multivariate Adaptive Regression Splines (MARS) algorithm. Through functions like mars(), Fwd_stepwise, ...
JSTOR Daily

Bayesian Regression with Multivariate Linear Splines

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 63, No. 1 (2001), pp. 3-17 (15 pages) We present a Bayesian analysis of a piecewise linear model constructed using ...
JSTOR Daily

Discussion: Multivariate Adaptive Regression Splines

The Annals of Statistics publishes research papers of the highest quality reflecting the many facets of contemporary statistics. Primary emphasis is placed on importance and originality, not on ...
IEEE

Post-Processing Error Correction in Virtual Try-on Pose Detection: A Comparative Study of Multivariate Adaptive Regression Splines and Extra Trees Algorithms

Abstract: Digital try-on systems essentially depend on pose detection since their accuracy defines the realism of the virtual fitting. This work presents a custom model for extra trees and ...