Multivariable Bidirectional Mendelian Randomization via Bayesian Directed Cyclic Graphical Models with Correlated Errors
Fuente:
arXiv
Saved in:
| Main Authors: | Sarkar, Bitan, Jiang, Yuchao, Ge, Tian, Ni, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MR.RGM: An R Package for Fitting Bayesian Multivariate Bidirectional Mendelian Randomization Networks
by: Sarkar, Bitan, et al.
Published: (2024)
by: Sarkar, Bitan, et al.
Published: (2024)
MR-CCC: Bayesian Mendelian Randomization for Causal Cell--Cell Communication
by: Sarkar, Bitan, et al.
Published: (2026)
by: Sarkar, Bitan, et al.
Published: (2026)
Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025)
by: Wu, Yinxiang, et al.
Published: (2025)
Bayesian Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2025)
by: Nguyen, Khai, et al.
Published: (2025)
A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)
by: Florez, Mauro, et al.
Published: (2025)
Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
by: Mukherjee, Anish, et al.
Published: (2024)
by: Mukherjee, Anish, et al.
Published: (2024)
Nested Atoms Model with Application to Clustering Big Population-Scale Single-Cell Data
by: Chakrabarti, Arhit, et al.
Published: (2026)
by: Chakrabarti, Arhit, et al.
Published: (2026)
Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)
by: Ghosh, Shuvrarghya, et al.
Published: (2025)
BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models
by: Wu, Yutong, et al.
Published: (2024)
by: Wu, Yutong, et al.
Published: (2024)
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)
by: Yao, Minhao, et al.
Published: (2025)
JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)
by: Dey, Pritam, et al.
Published: (2026)
Joint Mean and Correlation Regression Models for Multivariate Data
by: Tho, Zhi Yang, et al.
Published: (2024)
by: Tho, Zhi Yang, et al.
Published: (2024)
A Bayesian Framework for Multivariate Differential Analysis
by: Chion, Marie, et al.
Published: (2023)
by: Chion, Marie, et al.
Published: (2023)
A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
by: Chakraborty, Chitradipa, et al.
Published: (2025)
by: Chakraborty, Chitradipa, et al.
Published: (2025)
Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
by: Lin, Zhengzhi, et al.
Published: (2025)
by: Lin, Zhengzhi, et al.
Published: (2025)
Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data
by: Saduakhas, Damilya, et al.
Published: (2025)
by: Saduakhas, Damilya, et al.
Published: (2025)
A Multivariate Copula-based Bayesian Framework for Doping Detection
by: Deliu, Nina, et al.
Published: (2024)
by: Deliu, Nina, et al.
Published: (2024)
Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series
by: Pramanik, Sandipan, et al.
Published: (2025)
by: Pramanik, Sandipan, et al.
Published: (2025)
A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023)
by: Koslovsky, Matthew D., et al.
Published: (2023)
Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
by: Lee, Jooyeon, et al.
Published: (2025)
by: Lee, Jooyeon, et al.
Published: (2025)
Selective Inference in Graphical Models via Maximum Likelihood
by: Guglielmini, Sofia, et al.
Published: (2025)
by: Guglielmini, Sofia, et al.
Published: (2025)
Estimating time-varying exposure effects through continuous-time modelling in Mendelian randomization
by: Tian, Haodong, et al.
Published: (2024)
by: Tian, Haodong, et al.
Published: (2024)
DROP: Distributionally Robust Optimization for Multi-task Learning in Graphical Models
by: Shen, Canruo, et al.
Published: (2026)
by: Shen, Canruo, et al.
Published: (2026)
Bayesian Mixed Multidimensional Scaling for Auditory Processing
by: Rebaudo, Giovanni, et al.
Published: (2022)
by: Rebaudo, Giovanni, et al.
Published: (2022)
Robust Standard Errors for Bayesian Posterior Functionals via the Infinitesimal Jackknife
by: Luo, Nanyu, et al.
Published: (2026)
by: Luo, Nanyu, et al.
Published: (2026)
Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
by: Florez, Mauro, et al.
Published: (2024)
by: Florez, Mauro, et al.
Published: (2024)
Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
by: Retegui, Garazi, et al.
Published: (2024)
by: Retegui, Garazi, et al.
Published: (2024)
Bayesian Modeling for Aggregated Relational Data: A Unified Perspective
by: Ward, Owen G., et al.
Published: (2025)
by: Ward, Owen G., et al.
Published: (2025)
A Bayesian Framework for Latent Compliance Modeling in Cluster Randomized Trials with One-Sided Noncompliance
by: Sisti, Anthony, et al.
Published: (2025)
by: Sisti, Anthony, et al.
Published: (2025)
Prior Smoothing for Multivariate Disease Mapping Models
by: Retegui, Garazi, et al.
Published: (2026)
by: Retegui, Garazi, et al.
Published: (2026)
Direct-Assisted Bayesian Unit-level Modeling for Small Area Estimation of Rare Event Prevalence
by: McGovern, Alana, et al.
Published: (2024)
by: McGovern, Alana, et al.
Published: (2024)
Spatially Varying Gene Regulatory Networks via Bayesian Nonparametric Covariate-Dependent Directed Cyclic Graphical Models
by: Dawn, Trisha, et al.
Published: (2025)
by: Dawn, Trisha, et al.
Published: (2025)
Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
by: Yue, Kun, et al.
Published: (2024)
by: Yue, Kun, et al.
Published: (2024)
Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
by: Zhang, Danlu, et al.
Published: (2025)
by: Zhang, Danlu, et al.
Published: (2025)
Multivariate MRP
by: Goplerud, Max, et al.
Published: (2025)
by: Goplerud, Max, et al.
Published: (2025)
Bayesian Hierarchical Modeling for Predicting Spatially Correlated Curves in Irregular Domains: A Case Study on PM10 Pollution
by: Moreno, Alvaro Alexander Burbano, et al.
Published: (2024)
by: Moreno, Alvaro Alexander Burbano, et al.
Published: (2024)
Aggregating Dependent Signals with Heavy-Tailed Combination Tests
by: Gui, Lin, et al.
Published: (2023)
by: Gui, Lin, et al.
Published: (2023)
Network Modeling of Asynchronous Change-Points in Multivariate Time Series
by: McKee, Carson, et al.
Published: (2025)
by: McKee, Carson, et al.
Published: (2025)
Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches
by: Buriticá, Gloria, et al.
Published: (2024)
by: Buriticá, Gloria, et al.
Published: (2024)
Detecting and Understanding the Difference between Natural Mediation Effects and Their Randomized Interventional Analogues
by: Yu, Ang, et al.
Published: (2024)
by: Yu, Ang, et al.
Published: (2024)
Similar Items
-
MR.RGM: An R Package for Fitting Bayesian Multivariate Bidirectional Mendelian Randomization Networks
by: Sarkar, Bitan, et al.
Published: (2024) -
MR-CCC: Bayesian Mendelian Randomization for Causal Cell--Cell Communication
by: Sarkar, Bitan, et al.
Published: (2026) -
Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025) -
Bayesian Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2025) -
A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)