Academic Journal
Q1Bayesian Analysis
About Bayesian Analysis
Bayesian Analysis is a scholarly journal published by International Society for Bayesian Analysis. SCImago 2025 lists it in Q1, with an SJR of 1.543 and H-index of 70.
Coverage: 2006-2025. Research categories: Applied Mathematics (Q1); Statistics and Probability (Q1).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2022-12-05. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
- Aims and scope ↗
- Editorial board ↗
- Instructions for authors ↗
- Peer-review policy ↗
- Publication fees ↗
- Fee waivers ↗
- Licence terms ↗
- Copyright policy ↗
Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Bayesian Methods and Mixture Models; Statistical Methods and Inference; Statistical Methods and Bayesian Inference; Gaussian Processes and Bayesian Inference; Advanced Statistical Methods and Models; Markov Chains and Monte Carlo Methods.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Bayesian Copula Factor Autoregressive Models for Time Series Mixed Data
Samira Zaroudi, Hadi Safari-Katesari, S. Yaser Samadi
2026-09-01 · DOI: 10.1214/25-ba1518Exploiting Multivariate Network Meta-Analysis: A Calibrated Bayesian Composite Likelihood Inference
Yifei Wang, Lifeng Lin, Yu-Lun Liu
2026-09-01 · DOI: 10.1214/25-ba1511The ARR2 Prior: Flexible Predictive Prior Definition for Bayesian Auto-Regressions
David Kohns, Noa Kallioinen, Yann McLatchie, Aki Vehtari et al.
2026-09-01 · DOI: 10.1214/25-ba1512The Multiplex p2 Model: Mixed-Effects Modeling for Multiplex Social Networks
Anni Hong, Nynke M. D. Niezink
2026-09-01 · DOI: 10.1214/25-ba1527Semiparametric Estimation of the Shape of the Limiting Bivariate Point Cloud
Reetam Majumder, Benjamin A. Shaby, Brian J. Reich, Daniel S. Cooley et al.
2026-09-01 · DOI: 10.1214/25-ba1514Modelling Pathwise Uncertainty of Stochastic Differential Equations Samplers via Probabilistic Numerics
Yvann Le Fay, Simo Särkkä, Adrien Corenflos
2026-09-01 · DOI: 10.1214/25-ba1522Generalized Decomposition Priors on R2
Javier Enrique Aguilar, Paul-Christian Bürkner
2026-09-01 · DOI: 10.1214/25-ba1524Bayesian Iterative Screening in Ultra-high Dimensional Linear Regressions
Run Wang, Somak Dutta, Vivekananda Roy
2026-09-01 · DOI: 10.1214/25-ba1517Synchronization of Layer-Counted Paleoclimatic Proxy Archives Using a Bayesian Regression Modeling Framework
Eirik Myrvoll-Nilsen, Keno Riechers, Niklas Boers
2026-09-01 · DOI: 10.1214/25-ba1509Bayesian inference for aggregated Hawkes processes
Lingxiao Zhou, Georgia Papadogeorgou
2026-09-01 · DOI: 10.1214/25-ba1516A Hybrid Markov Chain Monte Carlo Approach for Structural Learning in Bayesian Networks Based on Variable Blocking
Lupe S. H. Chan, Amanda M. Y. Chu, Mike K. P. So
2026-09-01 · DOI: 10.1214/25-ba1521Revisiting Concentration Results for Approximate Bayesian Computation
Hien Duy Nguyen, TrungTin Nguyen, Julyan Arbel, Florence Forbes et al.
2026-09-01 · DOI: 10.1214/25-ba1520Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
Michele Peruzzi, Sudipto Banerjee, David B. Dunson, Andrew O. Finley et al.
2026-09-01 · DOI: 10.1214/25-ba1515Mixture Representations and Bayesian Nonparametric Inference for Likelihood Ratio Ordered Distributions
Michael Jauch, Andrés F. Barrientos, Víctor Peña, David S. Matteson et al.
2026-09-01 · DOI: 10.1214/25-ba1519Bayesian Variable Selection Under High-Dimensional Settings with Grouped Covariates
Pranay Agarwal, Subhajit Dutta, Minerva Mukhopadhyay
2026-09-01 · DOI: 10.1214/25-ba1525Measurement Error Models with Global-Local Priors for Small Area Estimation
Xueying Tang, Jairo Fúquene-Patiño
2026-09-01 · DOI: 10.1214/24-ba1476Posterior Concentration Rates for Bayesian Penalized Splines
Paul Bach, Nadja Klein
2026-09-01 · DOI: 10.1214/25-ba1523Bayesian Graphs of Intelligent Causation
Preetha Ramiah, Jim Q. Smith, Silvia Liverani, F.O. Bunnin et al.
2026-09-01 · DOI: 10.1214/25-ba1513A New Family of Error Distributions for Bayesian Quantile Regression
Yifei Yan, Xiaotian Zheng, Athanasios Kottas
2026-09-01 · DOI: 10.1214/25-ba1507Clusterization in D-optimal Designs: The Case Against Linearization
Yair Daon
2026-06-01 · DOI: 10.1214/24-ba1505Reviews
Community Reviews
Version History
October 4, 2026 at 8:51 pm
September 25, 2026