Replication Data for: Variance Deltas for Visualizing and Explaining Posterior Uncertainty

Harvard Dataverse 2026 Dataset Open access

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Authors: Collin Cademartori
DOI: 10.7910/dvn/fvhlgg
Cited by: 0

Abstract

This dataset contains several types of files for replicating figures in the article "Variance Deltas for Visualizing and Explaining Posterior Uncertainty." Files include Stan models, corresponding input data (in JSON format), and Python scripts for running the sampler and generating corresponding variance deltas. See README for necessary dependencies, including information for installing the variance-deltas software package.

Fields of Study & Subjects

Statistical Methods and Bayesian Inference Markov Chains and Monte Carlo Methods Gaussian Processes and Bayesian Inference

Publication details

Journal / source
Harvard Dataverse
Publication date
10 February 2026
Language
EN
Document type
Dataset