Bayesian Analysis publishes research on Bayesian statistical methods, including the development of new models and computational techniques. The journal covers topics such as prior selection, robustness of Bayesian methods, Bayesian nonparametric approaches, and applications in various fields. It also addresses challenges in Bayesian inference, including handling missing data, spatial confounding, and uncertainty quantification.
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Publication & Citation Trend
Articles published
Times cited
2018
2019
2020
2021
2022
2023
2024
2025
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Applied MathematicsQ1
Statistics and ProbabilityQ1
Subject Classification
Web of Science Categories
Mathematics, Interdisciplinary ApplicationsStatistics & Probability
Scopus Categories
Applied MathematicsStatistics and Probability
Research Topics (OpenAlex)
Bayesian Methods and Mixture ModelsStatistical Methods and InferenceStatistical Methods and Bayesian InferenceGaussian Processes and Bayesian InferenceAdvanced Statistical Methods and ModelsMarkov Chains and Monte Carlo MethodsBayesian Modeling and Causal InferenceStatistical Distribution Estimation and ApplicationsAdvanced Causal Inference TechniquesFinancial Risk and Volatility Modeling