研飞ivySCI (青藤学术）

Bayesian Analysis

短名	Bayesian Anal.
Journal Impact	4.78
国际分区	STATISTICS & PROBABILITY(Q1)
期刊索引	SCI Q1中科院 2 区

ISSN	1931-6690, 1936-0975
h-index	65
国内分区	数学(2区)数学数学跨学科应用(1区)数学统计学与概率论(2区)

贝叶斯分析是国际贝叶斯分析学会的电子期刊。它旨在发表广泛的文章，在某些理论或应用背景下展示或讨论贝叶斯方法。该期刊欢迎提交新的计算和统计方法的投稿；对现有方法的批判性审查和讨论；历史观点；重要科学或政策应用领域的描述；实例探究;以及实验设计、数据收集、数据共享或数据挖掘的方法。提交的评估基于内容的重要性和沟通的有效性。讨论论文通常由主编选择，或由编辑建议，在定期提交的论文中。此外，《期刊》鼓励个人作者提交手稿以作为讨论文件考虑。

期刊主页

涉及主题	数学计算机科学统计人工智能贝叶斯概率经济机器学习计量经济学哲学物理贝叶斯推理认识论算法应用数学推论
出版信息	出版商: Carnegie Mellon University，出版周期: Irregular，期刊类型: journal
基本数据	创刊年份: 2006，原创研究文献占比: 100.00%，自引率:10.20%， Gold OA占比: 99.26%
平均审稿周期	网友分享经验：>12周，或约稿
平均录用比例	网友分享经验：较易

期刊引文格式

这些示例是对学术期刊文章的引用，以及它们应该如何出现在您的参考文献中。

并非所有期刊都按卷和期组织其已发表的文章，因此这些字段是可选的。有些电子期刊不提供页面范围，而是列出文章标识符。在这种情况下，使用文章标识符而不是页面范围是安全的。

只有1位作者的期刊

有2位作者的期刊

有3位作者的期刊

有5位以上作者的期刊

书籍引用格式

以下是创作和编辑的书籍的参考文献的示例。

学位论文引用格式

网页引用格式

这些示例是对网页的引用，以及它们应该如何出现在您的参考文献中。

专利引用格式

Structure Induced by a Multiple Membership Transformation on the Conditional Autoregressive Model

2024-9-1

Consistent and Scalable Bayesian Joint Variable and Graph Selection for Disease Diagnosis Leveraging Functional Brain Network

2024-9-1

Bayesian ex Post Evaluation of Recursive Multi-Step-Ahead Density Prediction

2024-9-1

Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions

2024-9-1

Bayesian Optimal Two-Sample Tests for High-Dimensional Gaussian Populations

2024-9-1

Fast Bayesian Functional Regression for Non-Gaussian Spatial Data

2024-6-1

A Multivariate Mixture Regression Model for Constrained Responses

2024-6-1

Objective Bayesian Meta-Analysis Based on Generalized Marginal Multivariate Random Effects Model

2024-6-1

Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo

2024-6-1

Coarsened Mixtures of Hierarchical Skew Normal Kernels for Flow and Mass Cytometry Analyses

2024-6-1

Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework

2024-6-1

Contaminated Gibbs-Type Priors

2024-6-1

How Trustworthy Is Your Tree? Bayesian Phylogenetic Effective Sample Size Through the Lens of Monte Carlo Error

2024-6-1

A General Bayesian Functional Spatial Partitioning Method for Multiple Region Discovery Applied to Prostate Cancer MRI

2024-6-1

Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks

2024-3-1

Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior

2024-3-1

Heavy-Tailed NGG-Mixture Models

2024-1-1

Design and Structure Dependent Priors for Scale Parameters in Latent Gaussian Models

2024-1-1

Sparse Bayesian Factor Analysis When the Number of Factors Is Unknown

2024-1-1

Bayesian Diagnostics for Chain Event Graphs

2024-1-1

Bayesian Analysis of Constrained Gaussian Processes

2024-1-1

Default Priors for the Smoothness Parameter in Gaussian Matérn Random Fields

2024-1-1

Dynamic Functional Variable Selection for Multimodal mHealth Data

2024-1-1

Bayesian Scalable Precision Factor Analysis for Gaussian Graphical Models

2024-1-1

Nested Rˆ: Assessing the Convergence of Markov Chain Monte Carlo When Running Many Short Chains

2024-1-1

Exact Bayesian Geostatistics Under Preferential Sampling

2024-1-1

Posterior Shrinkage Towards Linear Subspaces

2024-1-1

Estimating Sparse Direct Effects in Multivariate Regression With the Spike-and-Slab LASSO

2024-1-1

Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths and Time Series

2024-1-1

Defining a Credible Interval Is Not Always Possible with “Point-Null” Priors: A Lesser-Known Correlate of the Jeffreys-Lindley Paradox

2024-1-1

Bayesian Multi-Arm De-Intensification Designs

2024-1-1

Domain Latent Class Models

2024-1-1

Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression

2024-1-1

Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data

2024-1-1

Posterior Sampling From Truncated Ferguson-Klass Representation of Normalised Completely Random Measure Mixtures

2024-1-1

Bayesian Covariance Estimation for Multi-group Matrix-variate Data

2024-1-1

Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES Estimator

2024-1-1

Incorporating Prior Information Into Distributed Lag Nonlinear Models With Zero-Inflated Monotone Regression Trees

2024-1-1

A Bayesian Nonparametric Approach to Species Sampling Problems with Ordering

2024-1-1

Bayesian Nonparametric Model-based Clustering with Intractable Distributions: An ABC Approach

2024-1-1

An Axiomatisation of Error Intolerant Estimation

2024-1-1

Cutting Feedback and Modularized Analyses in Generalized Bayesian Inference

2024-1-1

Cross-Validatory Model Selection for Bayesian Autoregressions with Exogenous Regressors

2024-1-1

Assessing Causal Effects in the Presence of Treatment Switching Through Principal Stratification

2024-1-1

Efficient and Scalable Bipartite Matching with Fast Beta Linkage (fabl)

2024-1-1

Modeling Extreme Events in Time Series and Their Impact on Seasonal Adjustment in the Post-Covid-19 Era

2024-1-1

Spatio-Temporal Stick-Breaking Process

2024-1-1

Bayesian Community Detection for Networks with Covariates

2024-1-1

A Tree Perspective on Stick-Breaking Models in Covariate-Dependent Mixtures

2024-1-1

Large Sample Asymptotic Analysis for Normalized Random Measures with Independent Increments

2024-1-1

帮你贴心管理全部的文献
研飞ivySCI，高效的论文管理

投稿经验分享

分享我的经验，帮你走得更远

Bayesian Analysis

期刊引文格式

只有1位作者的期刊

有2位作者的期刊

有3位作者的期刊

有5位以上作者的期刊

书籍引用格式

学位论文引用格式

网页引用格式

专利引用格式

最新文章

Structure Induced by a Multiple Membership Transformation on the Conditional Autoregressive Model

Consistent and Scalable Bayesian Joint Variable and Graph Selection for Disease Diagnosis Leveraging Functional Brain Network

Bayesian ex Post Evaluation of Recursive Multi-Step-Ahead Density Prediction

Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions

Bayesian Optimal Two-Sample Tests for High-Dimensional Gaussian Populations

Fast Bayesian Functional Regression for Non-Gaussian Spatial Data

A Multivariate Mixture Regression Model for Constrained Responses

Objective Bayesian Meta-Analysis Based on Generalized Marginal Multivariate Random Effects Model

Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo

Coarsened Mixtures of Hierarchical Skew Normal Kernels for Flow and Mass Cytometry Analyses

Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework

Contaminated Gibbs-Type Priors

How Trustworthy Is Your Tree? Bayesian Phylogenetic Effective Sample Size Through the Lens of Monte Carlo Error

A General Bayesian Functional Spatial Partitioning Method for Multiple Region Discovery Applied to Prostate Cancer MRI

Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks

Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior

Heavy-Tailed NGG-Mixture Models

Design and Structure Dependent Priors for Scale Parameters in Latent Gaussian Models

Sparse Bayesian Factor Analysis When the Number of Factors Is Unknown

Bayesian Diagnostics for Chain Event Graphs

Bayesian Analysis of Constrained Gaussian Processes

Default Priors for the Smoothness Parameter in Gaussian Matérn Random Fields

Dynamic Functional Variable Selection for Multimodal mHealth Data

Bayesian Scalable Precision Factor Analysis for Gaussian Graphical Models

Nested Rˆ: Assessing the Convergence of Markov Chain Monte Carlo When Running Many Short Chains

Exact Bayesian Geostatistics Under Preferential Sampling

Posterior Shrinkage Towards Linear Subspaces

Estimating Sparse Direct Effects in Multivariate Regression With the Spike-and-Slab LASSO

Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths and Time Series

Defining a Credible Interval Is Not Always Possible with “Point-Null” Priors: A Lesser-Known Correlate of the Jeffreys-Lindley Paradox

Bayesian Multi-Arm De-Intensification Designs

Domain Latent Class Models

Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression

Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data

Posterior Sampling From Truncated Ferguson-Klass Representation of Normalised Completely Random Measure Mixtures

Bayesian Covariance Estimation for Multi-group Matrix-variate Data

Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES Estimator

Incorporating Prior Information Into Distributed Lag Nonlinear Models With Zero-Inflated Monotone Regression Trees

A Bayesian Nonparametric Approach to Species Sampling Problems with Ordering

Bayesian Nonparametric Model-based Clustering with Intractable Distributions: An ABC Approach

An Axiomatisation of Error Intolerant Estimation

Cutting Feedback and Modularized Analyses in Generalized Bayesian Inference

Cross-Validatory Model Selection for Bayesian Autoregressions with Exogenous Regressors

Assessing Causal Effects in the Presence of Treatment Switching Through Principal Stratification

Efficient and Scalable Bipartite Matching with Fast Beta Linkage (fabl)

Modeling Extreme Events in Time Series and Their Impact on Seasonal Adjustment in the Post-Covid-19 Era

Spatio-Temporal Stick-Breaking Process

Bayesian Community Detection for Networks with Covariates

A Tree Perspective on Stick-Breaking Models in Covariate-Dependent Mixtures

Large Sample Asymptotic Analysis for Normalized Random Measures with Independent Increments

帮你贴心管理全部的文献.css-5myebc{font-size:14px;font-weight:var(--chakra-fontWeights-normal);margin-top:var(--chakra-space-1);margin-bottom:var(--chakra-space-1);}研飞ivySCI，高效的论文管理

帮你贴心管理全部的文献
研飞ivySCI，高效的论文管理