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verified SJR 1,768 · Q1 • database Scopus / SJR & Web of Science indexed
Bayesian Analysis
United States · Carnegie Mellon University
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Bayesian Analysis

Bayesian Analysis is a journal indexed in SJR in Statistics and Probability and Applied Mathematics with an H index of 69. It has an SJR impact factor of 1,768 and it has a best quartile of Q1. It has an SJR impact factor of 1,768.

ISSN: 1936-0975
Publisher: Carnegie Mellon University
Category: Statistics and Probability
Indexation: verifiedScopus / SJR verifiedWeb of Science
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schedule CountryOfPapers database fields
SJR Impact Factor trending_up
1,768 Q1
H-index 69
Acceptance rate pie_chart
29% Selective
Source Acceptance_Rate
Time to publication hourglass_top
NPD
Field NPD
Publication cost (APC) payments
NPD Subscription
Non-OA path NPD

Metrics

Scimago and CountryOfPapers database fields

Scopus / SJR Web of Science

SJR Impact

1,768

H-index

69

Docs (year)

44

Docs 3y

134

Total refs

2315

Cites 3y

621

Citable 3y

134

Cites/Doc 2y

2.07

Ref/Doc

52.61

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

Bayesian Analysis of Dynamic Linear Topic Models

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Variational Inference for Count Response Semiparametric Regression

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Comment on article by Dominici et al.

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Comment on Article by Berger, Bernardo, and Sun

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Checking for prior-data conflict

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Bayesian Polynomial Regression Models to Fit Multiple Genetic Models for Quantitative Traits

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Bayesian Model Choice in Cumulative Link Ordinal Regression Models

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Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis

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Bayesian inference for the {MAPK}/{ERK} pathway by considering the dependency of the kinetic parameters

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Bayesian Inference for Diffusion-Driven Mixed-Effects Models

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Bayesian functional {ANOVA} modeling using Gaussian process prior distributions

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Bayesian Clustering of Functional Data Using Local Features

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"When did Bayesian inference become ""Bayesian""?"

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Asymptotic Properties of Bayesian Predictive Densities When the Distributions of Data and Target Variables are Different

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Asymptotic Optimality of One-Group Shrinkage Priors in Sparse High-dimensional Problems

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Adaptive Priors Based on Splines with Random Knots

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A Tractable State-Space Model for Symmetric Positive-Definite Matrices

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A Stochastic Variational Framework for Fitting and Diagnosing Generalized Linear Mixed Models

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A grade of membership model for rank data

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A Fully Nonparametric Modeling Approach to Binary Regression

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