These files contain the data analyzed in Le Bars 2018. The paper is available on EarthArXiv (https://eartharxiv.org/uvw3s/) and was submitted to Earth's Future. The NetCDF files contain the Probabili

Zenodo2020-09-20 更新30

Demographic description of the sample.

决策行为建模

不确定性量化

Modeling decision-making under uncertainty typically relies on quantitative outcomes. Many decisions, however, are qualitative in nature, posing problems for traditional models. Here, we aimed to mode

NIAID Data Ecosystem00

Monte Carlo simulation and correction factors.

MonteCarlo模拟

不确定性量化

Compressed file containing a description of the methodology used to perform the Monte Carlo simulations and raw data from Figs 4 and 5. (ZIP)

Figshare2018-05-15 更新40

MME/CRPS models trained with lightly perturbed data for JAMES paper "Machine-learned uncertainty quantification is not magic"

概率预测评估

不确定性量化

This tar file contains all 100 trained models in the MME/CRPS ensemble from Experiment 2 (i.e., those trained with lightly perturbed data). To pare the ensemble down to 50 models, we randomly select

NIAID Data Ecosystem20