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 ...

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

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 ...

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 ...

Handling incomplete data is a common challenge in quantitative research, and multiple imputation (MI) has become a widely adopted solution. However, traditional MI methods can struggle with complex ...

Abstract: The need to chose a suitable web service in the present scenario, due to the high growth in number of web services that provide similar types of functionalities is a critical task. To select ...

Abstract: Multivariate adaptive regression splines (MARS) technique is an adaptive non-parametric regression approach which has been used for various forecasting and data mining applications in recent ...