Vehtari, Aki

Understanding predictive information criteria for Bayesian models

Gelman, A., Hwang, J., & Vehtari, A. (2014) · Statistics and Computing

Statistical Methods and InferenceStatistical Methods and Bayesian Inference

Cited by 2,104

Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion)

Vehtari, A., Gelman, A., Simpson, D., Carpenter, B., & Bürkner, P.-C. (2021) · Bayesian Analysis

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 1,810

Visualization in Bayesian Workflow

Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., & Gelman, A. (2019) · Journal of the Royal Statistical Society Series A: Statistics in Society

Statistical Methods and Bayesian InferenceMarkov Chains and Monte Carlo Methods

Cited by 1,122

Regression and Other Stories

Gelman, A., Hill, J., & Vehtari, A. (2020) · Cambridge University Press eBooks

Statistical Methods and Bayesian InferenceStatistical Methods and Applications

Cited by 613

Bayesian approach for neural networks—review and case studies

Lampinen, J., & Vehtari, A. (2001) · Neural Networks

Gaussian Processes and Bayesian InferenceNeural Networks and Applications

Cited by 392

Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Vehtari, A., Gelman, A., & Gabry, J. (2017) · Statistics and Computing

Statistical Methods and Bayesian InferenceMarkov Chains and Monte Carlo Methods

Cited by 62

Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity

Modrák, M., Moon, A. H., Kim, S., Bürkner, P., Huurre, N., Faltejsková, K., Gelman, A., & Vehtari, A. (2025) · Bayesian Analysis

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 42

Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation

Järvenpää, M., Vehtari, A., & Marttinen, P. (2019) · arXiv

Gaussian Processes and Bayesian InferenceMarkov Chains and Monte Carlo Methods

Cited by 8