Episode 15: Data Synthetic and the Multiverse of Modeling   episode artwork

EPISODE · Jul 8, 2022 · 5 MIN

Episode 15: Data Synthetic and the Multiverse of Modeling

from Science Research Weekly · host Mark R Williamson

In this episode, I assessed applications for AI-generated synthetic data, read up on the radical R tutorial rflow, and stepped into the ‘multiverse’ package to manage reporting on many different statistical analyses. References: Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India The risk of bias in denoising methods: Examples from neuroimaging Bayesian model averaging for nonparametric discontinuity design AI-generated Synthetic Data, easy and fast access to high quality data? Use functions in a WHERE statement to filter observations Cronbach’s Alpha: Definition, Calculations & Example Updated Comparison of R Graphical User Interfaces A Major Contribution to Learning R R-packages: multiverse: 'Explorable Multiverse' Data Analysis and Reports

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Episode 15: Data Synthetic and the Multiverse of Modeling

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