Bayesian Analysis最新文献_第3页

A Tree-based Bayesian Accelerated Failure Time Cure Model for Estimating Heterogeneous Treatment Effect 基于树的非均匀处理效果估计贝叶斯加速失效时间修复模型

2区数学

Bayesian Analysis Pub Date : 2023-01-01 DOI: 10.1214/23-ba1402

Rongqian Sun, Xinyuan Song

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引用次数: 0

Inexact Laplace Approximation and the Use of Posterior Mean in Bayesian Inference 不精确拉普拉斯近似和后验均值在贝叶斯推理中的应用

IF 4.4 2区数学

Bayesian Analysis Pub Date : 2023-01-01 DOI: 10.1214/23-ba1391

V. Spokoiny

引用次数: 2

A Multivariate Mixture Regression Model for Constrained Responses 约束响应的多元混合回归模型

IF 4.4 2区数学

Bayesian Analysis Pub Date : 2023-01-01 DOI: 10.1214/22-ba1359

R. Ascari, A. M. Di Brisco, S. Migliorati, A. Ongaro

引用次数: 0

Laplace Power-Expected-Posterior Priors for Logistic Regression 逻辑回归的拉普拉斯期望幂后验先验

IF 4.4 2区数学

Bayesian Analysis Pub Date : 2023-01-01 DOI: 10.1214/23-ba1389

Anupreet Porwal, Abel Rodríguez

引用次数: 0

Inducing High Spatial Correlation with Randomly Edge-Weighted Neighborhood Graphs 用随机边加权邻域图诱导高空间相关性

IF 4.4 2区数学

Bayesian Analysis Pub Date : 2023-01-01 DOI: 10.1214/23-ba1390

D. Cruz-Reyes, R. Assunção, R. Loschi

引用次数: 0

Bayesian Feature Selection in Joint Quantile Time Series Analysis 联合分位数时间序列分析中的贝叶斯特征选择

2区数学

Bayesian Analysis Pub Date : 2023-01-01 DOI: 10.1214/23-ba1401

Ning Ning

{"title":"Bayesian Feature Selection in Joint Quantile Time Series Analysis","authors":"Ning Ning","doi":"10.1214/23-ba1401","DOIUrl":"https://doi.org/10.1214/23-ba1401","url":null,"abstract":"Quantile feature selection over correlated multivariate time series data has always been a methodological challenge and is an open problem. In this paper, we propose a general Bayesian dimension reduction methodology for feature selection in high-dimensional joint quantile time series analysis, under the name of the quantile feature selection time series (QFSTS) model. The QFSTS model is a general structural time series model, where each component yields an additive contribution to the time series modeling with direct interpretations. Its flexibility is compound in the sense that users can add/deduct components for each time series and each time series can have its own specific valued components of different sizes. Feature selection is conducted in the quantile regression component, where each time series has its own pool of contemporaneous external predictors allowing nowcasting. Bayesian methodology in extending feature selection to the quantile time series research area is developed using multivariate asymmetric Laplace distribution, spike-and-slab prior setup, the Metropolis-Hastings algorithm, and the Bayesian model averaging technique, all implemented consistently in the Bayesian paradigm. The QFSTS model requires small datasets to train and converges fast. Extensive examinations confirmed that the QFSTS model has superior performance in feature selection, parameter estimation, and forecast.","PeriodicalId":55398,"journal":{"name":"Bayesian Analysis","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136374436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic Graphical Models with Variable Selection for Effective Connectivity 有效连通性的可变选择动态图形模型

IF 4.4 2区数学

Bayesian Analysis Pub Date : 2023-01-01 DOI: 10.1214/23-ba1377

Rebecca Souza, L. Costa, M. Paez, João Sato, Cândida S. F. Barreto

引用次数: 0

Bayesian ex Post Evaluation of Recursive Multi-Step-Ahead Density Prediction 递归多步前向密度预测的Bayesian事后评估

IF 4.4 2区数学

Bayesian Analysis Pub Date : 2023-01-01 DOI: 10.1214/23-ba1367

Anna Pajor, J. Osiewalski, J. Wróblewska, Łukasz Kwiatkowski

引用次数: 0

Bayesian Analysis of the Generalized Additive Proportional Hazards Model: Asymptotic Studies 广义加性比例风险模型的贝叶斯分析:渐近研究