Intermediate results for: "Analyzing the COVID-19 intensive care unit bed occupancy with random regression coefficient Poisson time models"

This repository contains the intermediate results supplement for the paper "Analyzing the COVID-19 intensive care unit bed occupancy with random regression coefficient Poisson time models". Due to the large size of the intermediate simulation results, they are hosted here to ensure computational reproducibility. Contents (/results/intermediate) MAIN: contains the intermediate results obtained from the programming of the following sections of the main manuscript: /S6/S62: Section 6.2 Evaluation of the predictors. /S6/S63: Section 6.3 Evaluation of the ARRCPT model with and without temporal correlation. /S7/S71: Section 7.1. Model selection. /S7/S72: Section 7.2. Explanation capacity. /S7/S73: Section 7.3. Prediction capacity. SM: contains the intermediate results obtained from the programming of the following sections of the supplementary material: /E/E1: Section E.1 Empirical assessment of the ML-Laplace estimator: bias, MSE, and convergence rates. /E/E2: Section E.2 Evaluation of the MSE estimators. /PB: Parametric bootstrap estimator without bias correction. /HM: Parametric bootstrap estimator with Hall and Maiti bias correction. /EF: Parametric bootstrap estimator with Erciulescu and Fuller bias correction. /G/G1: Section G.1. Goodness of fit.