Cover Image

Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meng, Jingcheng, Ren, Yimeng, Zhu, Xuening, Hu, Guanyu
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How do the professional players select their shot locations? An analysis of Field Goal Attempts via Bayesian Additive Regression Trees
by: Cao, Jiahao, et al.
Published: (2025)

What Influences the Field Goal Attempts of Professional Players? Analysis of Basketball Shot Charts via Log Gaussian Cox Processes with Spatially Varying Coefficients
by: Cao, Jiahao, et al.
Published: (2025)

Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
by: Zhu, Zihan, et al.
Published: (2026)

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)

Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
by: Lee, Jooyeon, et al.
Published: (2025)

Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression
by: Saddiki, Hachem, et al.
Published: (2025)

svc: An R package for Spatially Varying Coefficient Models
by: Akuoko-Frimpong, Justice, et al.
Published: (2025)

Soil Texture Prediction with Bayesian Generalized Additive Models for Spatial Compositional Data
by: Martínez-Minaya, Joaquín, et al.
Published: (2025)

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
by: Ng, Edwin, et al.
Published: (2021)

Bayesian Rank-Clustering
by: Pearce, Michael, et al.
Published: (2024)

Are Made and Missed Different? An analysis of Field Goal Attempts of Professional Basketball Players via Depth Based Testing Procedure
by: Qi, Kai, et al.
Published: (2024)

Bayesian Mapping of Mortality Clusters
by: Sottosanti, Andrea, et al.
Published: (2024)

Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)

Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
by: Pintado, Maria F., et al.
Published: (2023)

Generalized Correlation Regression for Disentangling Dependence in Clustered Data
by: Wang, Yibo, et al.
Published: (2025)

Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)

Mixture of Finite Mixtures Model for Basket Trial
by: Geng, Junxian, et al.
Published: (2020)

Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)

Recovering Unobserved Network Links from Aggregated Relational Data: Discussions on Bayesian Latent Surface Modeling and Penalized Regression
by: Tseng, Yen-hsuan
Published: (2025)

Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
by: Roy, Arkaprava, et al.
Published: (2026)

Adaptive Block-Based Change-Point Detection for Sparse Spatially Clustered Data with Applications in Remote Sensing Imaging
by: Moore, Alan, et al.
Published: (2025)

Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)

Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)

Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025)

Cluster-Based Bayesian SIRD Modeling of Chickenpox Epidemiology in India
by: Mukherjee, Nayana, et al.
Published: (2026)

Bayesian Multilevel Bivariate Spatial Modelling of Italian School Data
by: Cefalo, Leonardo, et al.
Published: (2024)

Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
by: Florez, Mauro, et al.
Published: (2024)

A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
by: Katz, Harrison, et al.
Published: (2023)

Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
by: Ma, Guoxuan, et al.
Published: (2023)

Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
by: Yuan, Shijie, et al.
Published: (2025)

Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2025)

Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
by: Sanyal, Nilotpal
Published: (2025)

Understanding Spatial Regression Models from a Weighting Perspective in an Observational Study of Superfund Remediation
by: Woodward, Sophie M., et al.
Published: (2025)

How Much Does Home Field Advantage Matter in Soccer Games? A Causal Inference Approach for English Premier League Analysis
by: Wang, Chen, et al.
Published: (2022)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)

High-dimensional Bayesian Model for Disease-Specific Gene Detection in Spatial Transcriptomics
by: Zhao, Qicheng, et al.
Published: (2024)

A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
by: Erlandson, Brody, et al.
Published: (2026)

Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
by: Comess, Saskia, et al.
Published: (2025)

Penalized Sparse Covariance Regression with High Dimensional Covariates
by: Gao, Yuan, et al.
Published: (2024)

Spatial Hyperspheric Models for Compositional Data
by: Schwob, Michael R., et al.
Published: (2024)