Introduction: Causal inference of athletic injuries provides the critical foundations for the development of effective prevention strategies. In recent years, the directed acyclic graph model (DAG) ...

Right now, bayesplot offers various functions for posterior predictive check such as ppc_dens, ppc_hist, ppc_freqpoly, ppc_boxplot, and a couple of others. One of the plots that bayesplot currently ...

When I generate the residual plots using the DHARMa package, the quantile regression curves do not appear in the residual vs. predicted plot (right plot). Instead, I receive warnings stating that the ...

The discussion centered on the use of quantile-quantile plots to analyze stock return distributions and their deviations from the normal distribution assumption, primarily during volatile market ...

Abstract: In many areas of science, technological advances have led to devices that produce data streams consisting of an enormous number of measurements per subject, including wearable devices, ...

In many simulation-based Bayesian approaches to quantile regression, Markov Chain Monte Carlo techniques are employed to generate draws from a posterior distribution based on an asymmetric Laplace ...

1 Department of Mathematics, Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI), Nairobi, Kenya. 2 Department of Mathematics and Actuarial Science, Kenyatta ...

This article aimed to present a new continuous probability density function for a non-negative random variable that serves as an alternative to some bounded domain distributions. The new distribution, ...