Cover Image

Advances in Bayesian Modeling: Applications and Methods

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Yifei, Sosa, Juan, Martínez, Carlos A.
Format:	Preprint
Published:	2025
Subjects:	Applications Computation Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Inference of Geometric Brownian Motion: An Extension with Jumps
by: Yan, Yifei, et al.
Published: (2025)

Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
by: Bhuyan, Prajamitra, et al.
Published: (2026)

Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)

Influence Networks: Bayesian Modeling and Diffusion
by: Sánchez-Gutiérrez, Samuel, et al.
Published: (2024)

Bayesian Cointegrated Panels in Digital Marketing
by: Carranza-Sánchez, Juan David, et al.
Published: (2024)

Parapolitics and Roll-Call Voting in Colombia: A Bayesian Euclidean and Spherical Spatial Analysis
by: Sosa, Juan, et al.
Published: (2025)

Identifying Hierarchical Structures in Network Data
by: Regueiro, Pedro, et al.
Published: (2024)

Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025)

Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
by: Li, Dayi, et al.
Published: (2024)

Uncovering latent territorial structure in ICFES Saber 11 performance with Bayesian multilevel spatial models
by: Pardo, Laura, et al.
Published: (2025)

Multiscale Multi-Type Spatial Bayesian Analysis for High-Dimensional Data with Application to Wildfires and Migration
by: Zhou, Shijie, et al.
Published: (2024)

Peace Sells, But Whose Songs Connect? Bayesian Multilayer Network Analysis of the Big 4 of Thrash Metal
by: Sosa, Juan, et al.
Published: (2025)

Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
by: Sahoo, Indranil, et al.
Published: (2024)

Semiparametric Modelling of Cancer Mortality Trends in Colombia
by: Buitrago, Lina, et al.
Published: (2024)

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

A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
by: Korsurat, Suppapat, et al.
Published: (2025)

A Semi-Parametric Bayesian Spatial Model for Rainfall Events in Geographically Complex Domains
by: Onorati, Paolo, et al.
Published: (2025)

pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
by: Shi, Skylar, et al.
Published: (2025)

Effective Bayesian Modeling of Large Spatiotemporal Count Data Using Autoregressive Gamma Processes
by: Cheng, Yifan, et al.
Published: (2025)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)

Bayesian Methods for Modeling Cumulative Exposure to Extensive Environmental Health Hazards
by: Trangucci, Rob, et al.
Published: (2024)

A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

A Nonparametric Bayesian Local-Global Model for Enhanced Adverse Event Signal Detection in Spontaneous Reporting System Data
by: Huang, Xin-Wei, et al.
Published: (2025)

Analysis of Bipartite Networks in Anime Series: Textual Analysis, Topic Clustering, and Modeling
by: Sosa, Juan, et al.
Published: (2024)

Constructing the Truth: Text Mining and Linguistic Networks in Public Hearings of Case 03 of the Special Jurisdiction for Peace (JEP)
by: Sosa, Juan, et al.
Published: (2025)

Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)

Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
by: Zhou, Shijie, et al.
Published: (2023)

Scalable Fitting Methods for Multivariate Gaussian Additive Models with Covariate-dependent Covariance Matrices
by: Gioia, Vincenzo, et al.
Published: (2025)

Network Dynamics and Spatial Shifts in Civilian Targeting: A Stochastic Block Model Analysis of the Colombian Armed Conflict
by: Perdomo-Londoño, Natalia, et al.
Published: (2025)

Robust Standard Errors for Bayesian Posterior Functionals via the Infinitesimal Jackknife
by: Luo, Nanyu, et al.
Published: (2026)

Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
by: Wakayama, Tomoya, et al.
Published: (2024)

Stochastic Gradient Variational Bayes in the Stochastic Blockmodel
by: Regueiro, Pedro, et al.
Published: (2024)

Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024)

Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)

Bayesian sample size calculations for external validation studies of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2025)

Bayesian Estimation of Variance under Fine Stratification via Mean-Variance Smoothing
by: Mosaferi, Sepideh, et al.
Published: (2026)

Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)

Bayesian variable selection using an informed reversible jump in imaging genetics: an application to schizophrenia
by: Montcho, Djidenou, et al.
Published: (2023)

A Bayesian Proportional Mean Model Using Panel Binary Data-An Application to Health and Retirement Study
by: Hariharan, Pavithra, et al.
Published: (2025)

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