An Order of Magnitude Time Complexity Reduction for Gaussian Graphical Model Posterior Sampling Using a Reverse Telescoping Block Decomposition
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Zejin, Sagar, Ksheera, Bhadra, Anindya |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix
by: Bhadra, Anindya, et al.
Published: (2022)
by: Bhadra, Anindya, et al.
Published: (2022)
Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model
by: Chen, Yujie, et al.
Published: (2025)
by: Chen, Yujie, et al.
Published: (2025)
Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants
by: Chen, Yujie, et al.
Published: (2024)
by: Chen, Yujie, et al.
Published: (2024)
Multivariate Confluent Hypergeometric Covariance Functions with Simultaneous Flexibility over Smoothness and Tail Decay
by: Yarger, Drew, et al.
Published: (2023)
by: Yarger, Drew, 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)
An Optimal Transport-Based Generative Model for Bayesian Posterior Sampling
by: Li, Ke, et al.
Published: (2025)
by: Li, Ke, 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)
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)
High-Dimensional Covariate-Dependent Gaussian Graphical Models
by: Wang, Jiacheng, et al.
Published: (2025)
by: Wang, Jiacheng, et al.
Published: (2025)
Posterior Mode Guided Dimension Reduction for Bayesian Model Averaging in Heavy-Tailed Linear Regression
by: De, Shamriddha, et al.
Published: (2026)
by: De, Shamriddha, et al.
Published: (2026)
Gaussian Graphical Models for Functional Connectivity Analysis: A Statistical Review with Applications to Alzheimer's Disease
by: Zhang, Panpan, et al.
Published: (2026)
by: Zhang, Panpan, et al.
Published: (2026)
LARGE: A Locally Adaptive Regularization Approach for Estimating Gaussian Graphical Models
by: Nguyen, Ha, et al.
Published: (2026)
by: Nguyen, Ha, et al.
Published: (2026)
Parameter Estimation of State Space Models Using Particle Importance Sampling
by: Gao, Yuxiong, et al.
Published: (2025)
by: Gao, Yuxiong, 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)
Profile Graphical Models
by: Avalos-Pacheco, Alejandra, et al.
Published: (2026)
by: Avalos-Pacheco, Alejandra, et al.
Published: (2026)
Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
by: Montanari, Andrea, et al.
Published: (2024)
by: Montanari, Andrea, et al.
Published: (2024)
Safe, Scalable, and Accurate Bayes Posterior Sampling for Large-Data Generalized Linear Mixed Models
by: Baek, Youngsoo, et al.
Published: (2026)
by: Baek, Youngsoo, et al.
Published: (2026)
Scalar-on-Shape Regression Models for Functional Data Analysis
by: Bhadra, Sayan, et al.
Published: (2024)
by: Bhadra, Sayan, et al.
Published: (2024)
Gaussian Graphical Models for Partially Observed Multivariate Functional Data
by: Borriero, Marco, et al.
Published: (2025)
by: Borriero, Marco, et al.
Published: (2025)
Functional Gaussian Graphical Regression Models For Air Quality Data
by: Fici, Rita, et al.
Published: (2024)
by: Fici, Rita, 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)
Selective Inference in Graphical Models via Maximum Likelihood
by: Guglielmini, Sofia, et al.
Published: (2025)
by: Guglielmini, Sofia, et al.
Published: (2025)
Posterior Concentration for Gaussian Process Priors under Rescaled and Hierarchical Matérn and Confluent Hypergeometric Covariance Functions
by: Fang, Xiao, et al.
Published: (2023)
by: Fang, Xiao, et al.
Published: (2023)
Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
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)
A Unified Framework for Community Detection and Model Selection in Blockmodels
by: Bhadra, Subhankar, et al.
Published: (2025)
by: Bhadra, Subhankar, et al.
Published: (2025)
Graphical Finite Population Sampling
by: Panahbehagh, Bardia
Published: (2023)
by: Panahbehagh, Bardia
Published: (2023)
Sequential Monte Carlo for Cut-Bayesian Posterior Computation
by: Mathews, Joseph, et al.
Published: (2024)
by: Mathews, Joseph, et al.
Published: (2024)
Entropy Adjusted Graphical Lasso for Sparse Precision Matrix Estimation
by: Avagyan, Vahe
Published: (2025)
by: Avagyan, Vahe
Published: (2025)
Causal Inference Under Network Interference
by: Bhadra, Subhankar, et al.
Published: (2025)
by: Bhadra, Subhankar, et al.
Published: (2025)
Extrapolation of Tempered Posteriors
by: Xi, Mengxin, et al.
Published: (2025)
by: Xi, Mengxin, et al.
Published: (2025)
Latent Gaussian and Hüsler--Reiss Graphical Models with Golazo Penalty
by: Rodríguez, Ignacio Echave-Sustaeta, et al.
Published: (2024)
by: Rodríguez, Ignacio Echave-Sustaeta, et al.
Published: (2024)
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)
Enhancing Approximate Modular Bayesian Inference by Emulating the Conditional Posterior
by: Hutchings, Grant, et al.
Published: (2024)
by: Hutchings, Grant, et al.
Published: (2024)
Weighted Particle-Based Optimization for Efficient Generalized Posterior Calibration
by: Tanaka, Masahiro
Published: (2024)
by: Tanaka, Masahiro
Published: (2024)
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs
by: Lee, Clement, et al.
Published: (2023)
by: Lee, Clement, et al.
Published: (2023)
Goodness-of-Fit Tests for High-Dimensional Gaussian Graphical Models via Exchangeable Sampling
by: Lin, Xiaotong, et al.
Published: (2023)
by: Lin, Xiaotong, et al.
Published: (2023)
Sparse Fréchet Sufficient Dimension Reduction with Graphical Structure Among Predictors
by: Weng, Jiaying, et al.
Published: (2023)
by: Weng, Jiaying, et al.
Published: (2023)
Modeling Complex Life Systems: Bayesian Inference for Weibull Failure Times Using Adaptive MCMC
by: Oketch, Tobias, et al.
Published: (2025)
by: Oketch, Tobias, et al.
Published: (2025)
Similar Items
-
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix
by: Bhadra, Anindya, et al.
Published: (2022) -
Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model
by: Chen, Yujie, et al.
Published: (2025) -
Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants
by: Chen, Yujie, et al.
Published: (2024) -
Multivariate Confluent Hypergeometric Covariance Functions with Simultaneous Flexibility over Smoothness and Tail Decay
by: Yarger, Drew, et al.
Published: (2023) -
Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)