JSTOR Daily

JOINT ESTIMATION OF SPARSE MULTIVARIATE REGRESSION AND CONDITIONAL GRAPHICAL MODELS

Multivariate regression model is a natural generalization of the classical univariate regression model for fitting multiple responses. In this paper, we propose a high-dimensional multivariate ...
JSTOR Daily

A New Class of Multivariate Skew Distributions with Applications to Bayesian Regression Models

The Canadian Journal of Statistics / La Revue Canadienne de Statistique The authors develop a new class of distributions by introducing skewness in multivariate elliptically symmetric distributions.
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Multivariate Linear Regression from Scratch in C++

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic! Mary Trump issues warning on long-term impact of Donald Trump move I Built a 1500HP Big Block ...
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 ...