mlsanityData to 7 Oct 2026

Visualization in Bayesian workflow

arXiv 1709.01449 ↗First posted 5 Sep 2017stat.ME stat.APcited by 25

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Abstract (arXiv)

Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about more than trace plots of Markov chains. Practical Bayesian data analysis, like all data analysis, is an iterative process of model building, inference, model checking and evaluation, and model expansion. Visualization is helpful in each of these stages of the Bayesian workflow and it is indispensable when drawing inferences from the types of modern, high-dimensional models that are used by applied researchers.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Sep 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 5; 2023: 5; 2024: 6; 2025: 3; 2026: 3.

25 papers.

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  1. 2021Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networkscited by 48
  2. 2022Model Criticism for Long-Form Text Generationcited by 21
  3. 2024Amortized Bayesian Multilevel Modelscited by 12
  4. 2025Simulation-based Bayesian inference under model misspecificationcited by 9
  5. 2021Toward a Taxonomy of Trust for Probabilistic Machine Learningcited by 8
  6. 2022Are you using test log-likelihood correctly?cited by 8
  7. 2023Misspecification-robust Sequential Neural Likelihood for Simulation-based Inferencecited by 8
  8. 2023Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimationcited by 8
  9. 2024Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigationcited by 8
  10. 2026BayesFlow 2: Multi-Backend Amortized Bayesian Inference in Pythoncited by 7
  11. 2021Measuring the robustness of Gaussian processes to kernel choicecited by 6
  12. 2022A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of termscited by 5
13 more
  1. 2022Efficient identification of informative features in simulation-based inferencecited by 5
  2. 2024Simulation-based Inference with the Python Package sbijaxcited by 5
  3. 2024Graph Structure Learning with Interpretable Bayesian Neural Networkscited by 4
  4. 2025Amortized Bayesian Mixture Modelscited by 3
  5. 2025Posterior SBC: Simulation-Based Calibration Checking Conditional on Datacited by 3
  6. 2023Discriminative calibration: Check Bayesian computation from simulations and flexible classifiercited by 2
  7. 2022Bayesian NVH metamodels to assess interior cabin noise using measurement databasescited by 1
  8. 2023Bayesian Calibration of MEMS Accelerometerscited by 1
  9. 2024Expert-elicitation method for non-parametric joint priors using normalizing flowscited by 1
  10. 2023A tutorial on the Bayesian statistical approach to inverse problemscited by 0
  11. 2024Hierarchical Bayesian Crowdsourcing with Item Difficultycited by 0
  12. 2026Differential Privacy of Gaussian Process Posterior Samplingcited by 0
  13. 2026Amortized Bayesian Inference on Multilevel Models of Arbitrary Structurecited by 0