Saved in:
| Main Authors: | Marcano, David, Dobra, Adrian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.13981 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A statistical framework for analyzing activity pattern from GPS data
by: Wu, Haoyang, et al.
Published: (2025)
by: Wu, Haoyang, 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)
An Object-Oriented Spatial Statistics Approach for Human Activity Space Estimation
by: Wu, Haoyang, et al.
Published: (2026)
by: Wu, Haoyang, et al.
Published: (2026)
Modeling Human Spatial Mobility Patterns with the Lévy Flight Cluster Model
by: Wolff, Malcolm, et al.
Published: (2025)
by: Wolff, Malcolm, et al.
Published: (2025)
Graphical Model-based Inference on Persistent Homology
by: Wu, Zitian, et al.
Published: (2025)
by: Wu, Zitian, et al.
Published: (2025)
Bayesian computation for high-dimensional Gaussian Graphical Models with spike-and-slab priors
by: Sulem, Deborah, et al.
Published: (2025)
by: Sulem, Deborah, et al.
Published: (2025)
Bayesian Functional Graphical Models with Change-Point Detection
by: Liu, Chunshan, et al.
Published: (2024)
by: Liu, Chunshan, et al.
Published: (2024)
Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure
by: Kilian, Valentin, et al.
Published: (2024)
by: Kilian, Valentin, et al.
Published: (2024)
Learning Heterogeneous Ordinal Graphical Models via Bayesian Nonparametric Clustering
by: Wen, Wang, et al.
Published: (2025)
by: Wen, Wang, et al.
Published: (2025)
Bayesian Variable Selection and Sparse Estimation for High-Dimensional Graphical Models
by: Chakravarti, Anwesha, et al.
Published: (2024)
by: Chakravarti, Anwesha, et al.
Published: (2024)
Selective Inference in Graphical Models via Maximum Likelihood
by: Guglielmini, Sofia, et al.
Published: (2025)
by: Guglielmini, Sofia, et al.
Published: (2025)
Bayesian Inference for High-dimensional Time Series with a Stationary Directed Acyclic Graphical Structure
by: Roy, Arkaprava, et al.
Published: (2025)
by: Roy, Arkaprava, et al.
Published: (2025)
Calibrated Generalized Bayesian Inference
by: Frazier, David T., et al.
Published: (2023)
by: Frazier, David T., et al.
Published: (2023)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)
by: Meng, Xuran, et al.
Published: (2024)
Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison
by: Vogels, Lucas, et al.
Published: (2023)
by: Vogels, Lucas, et al.
Published: (2023)
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)
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 Inference for Non-Gaussian Simultaneous Autoregressive Models with Missing Data
by: Wijayawardhana, Anjana, et al.
Published: (2025)
by: Wijayawardhana, Anjana, et al.
Published: (2025)
Contrastive Bayesian Inference for Unnormalized Models
by: Sonobe, Naruki, et al.
Published: (2026)
by: Sonobe, Naruki, et al.
Published: (2026)
Defensive Model Expansion for Robust Bayesian Inference
by: Linero, Antonio R.
Published: (2025)
by: Linero, Antonio R.
Published: (2025)
Robust Bayesian Inference for Censored Survival Models
by: Hamura, Yasuyuki, et al.
Published: (2025)
by: Hamura, Yasuyuki, et al.
Published: (2025)
Multivariable Bidirectional Mendelian Randomization via Bayesian Directed Cyclic Graphical Models with Correlated Errors
by: Sarkar, Bitan, et al.
Published: (2025)
by: Sarkar, Bitan, et al.
Published: (2025)
Tensor Elliptical Graphic Model
by: Liu, Jixuan, et al.
Published: (2025)
by: Liu, Jixuan, et al.
Published: (2025)
Calibrating Bayesian Inference
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
by: Hansen, Blake, et al.
Published: (2023)
by: Hansen, Blake, et al.
Published: (2023)
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)
Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
by: Kock, Lucas, et al.
Published: (2026)
by: Kock, Lucas, et al.
Published: (2026)
Conformalized Bayesian Inference, with Applications to Random Partition Models
by: Bariletto, Nicola, et al.
Published: (2025)
by: Bariletto, Nicola, et al.
Published: (2025)
Bayesian Variational Inference for Mixed Data Mixture Models
by: Wang, Junyang, et al.
Published: (2025)
by: Wang, Junyang, et al.
Published: (2025)
Advances in Approximate Bayesian Inference for Models in Epidemiology
by: Li, Xiahui, et al.
Published: (2025)
by: Li, Xiahui, et al.
Published: (2025)
Hub Detection in Gaussian Graphical Models
by: Gómez, José Á. Sánchez, et al.
Published: (2025)
by: Gómez, José Á. Sánchez, et al.
Published: (2025)
Graphical Transformation Models
by: Herp, Matthias, et al.
Published: (2025)
by: Herp, Matthias, et al.
Published: (2025)
On the Stability of General Bayesian Inference
by: Jewson, Jack, et al.
Published: (2023)
by: Jewson, Jack, et al.
Published: (2023)
Scalable Bayesian Structure Learning for Gaussian Graphical Models Using Marginal Pseudo-likelihood
by: Mohammadi, Reza, et al.
Published: (2023)
by: Mohammadi, Reza, et al.
Published: (2023)
Gradient-bridged Posterior: Bayesian Inference for Models with Implicit Functions
by: Zeng, Cheng, et al.
Published: (2025)
by: Zeng, Cheng, et al.
Published: (2025)
Graphical Modelling without Independence Assumptions for Uncentered Data
by: Andrew, Bailey, et al.
Published: (2024)
by: Andrew, Bailey, et al.
Published: (2024)
Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)
by: Parra-Aldana, Cristian, et al.
Published: (2025)
Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States
by: Li, Teng, et al.
Published: (2026)
by: Li, Teng, et al.
Published: (2026)
Bayesian Federated Inference for Survival Models
by: Pazira, Hassan, et al.
Published: (2024)
by: Pazira, Hassan, et al.
Published: (2024)
Federated Variational Inference for Bayesian Mixture Models
by: Rao, Jackie, et al.
Published: (2025)
by: Rao, Jackie, et al.
Published: (2025)
Similar Items
-
A statistical framework for analyzing activity pattern from GPS data
by: Wu, Haoyang, et al.
Published: (2025) -
A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025) -
An Object-Oriented Spatial Statistics Approach for Human Activity Space Estimation
by: Wu, Haoyang, et al.
Published: (2026) -
Modeling Human Spatial Mobility Patterns with the Lévy Flight Cluster Model
by: Wolff, Malcolm, et al.
Published: (2025) -
Graphical Model-based Inference on Persistent Homology
by: Wu, Zitian, et al.
Published: (2025)