R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

Monte Carlo simulation is a computational technique used to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables. It's ...

This repository contains the code and instructions needed to reproduce our data processing, exploratory analyses, intake form visualizations, and statistical modeling for a small-scale, voluntary ...

Random forests have become popular for clinical risk prediction modeling. In a case study on predicting ovarian malignancy, we observed training AUCs close to 1. Although this suggests overfitting, ...

As a part of the EXPOLIS study, a stochastic exposure-modeling framework was developed. The framework is useful to compare exposure distributions of different (sub-) populations or different scenarios ...

Abstract: This paper proposes a fast simulation method of turbo codes over slow Rayleigh fading channels. The proposed method reduces the simulation runtime by applying importance sampling (IS). The ...