Abstract: Presents corrections to the paper, Bayesian Linear Regression With Cauchy Prior and Its Application in Sparse MIMO Radar.

Objective: This study aims to investigate the association between skeletal muscle mass (SMM) and left ventricular mass (LVM), providing a basis for health management and cardiac health interventions ...

Abstract: In this paper, we introduce an enhanced version of the Bayesian linear regression with Cauchy prior (BLRC) algorithm, as previously detailed in [1]. This refinement, termed efficient BLRC (E ...

The Nature Index 2024 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Computationally efficient Bayesian variable selection method to identify linear and nonlinear effects in regression models where a predictor (or feature) can have a zero effect, a non-zero linear ...

ABSTRACT: Modeling dynamic systems with linear parametric models usually suffer limitation which affects forecasting performance and policy implications. This paper advances a non-parametric ...

ABSTRACT: Computations involved in Bayesian approach to practical model selection problems are usually very difficult. Computational simplifications are sometimes possible, but are not generally ...

Department of VMS-Pathobiology, University of Illinois Urbana—Champaign, Urbana, Illinois 61801, United States ...