Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix
Fuente:
arXiv
Saved in:
| Main Authors: | Bhadra, Anindya, Sagar, Ksheera, Rowe, David, Banerjee, Sayantan, Datta, Jyotishka |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Order of Magnitude Time Complexity Reduction for Gaussian Graphical Model Posterior Sampling Using a Reverse Telescoping Block Decomposition
by: Gao, Zejin, et al.
Published: (2025)
by: Gao, Zejin, et al.
Published: (2025)
Nonparametric Bayes multiresolution testing for high-dimensional rare events
by: Datta, Jyotishka, et al.
Published: (2023)
by: Datta, Jyotishka, et al.
Published: (2023)
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)
Inverse Probability Weighting: from Survey Sampling to Evidence Estimation
by: Datta, Jyotishka, et al.
Published: (2022)
by: Datta, Jyotishka, et al.
Published: (2022)
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)
Censored Graphical Horseshoe: Bayesian sparse precision matrix estimation with censored and missing data
by: Mai, The Tien, et al.
Published: (2026)
by: Mai, The Tien, et al.
Published: (2026)
Entropy Adjusted Graphical Lasso for Sparse Precision Matrix Estimation
by: Avagyan, Vahe
Published: (2025)
by: Avagyan, Vahe
Published: (2025)
Bayesian Global-Local Regularization
by: Datta, Jyotishka, et al.
Published: (2025)
by: Datta, Jyotishka, et al.
Published: (2025)
Bayesian ICA with super-Gaussian Source Priors
by: Datta, Jyotishka, et al.
Published: (2024)
by: Datta, Jyotishka, et al.
Published: (2024)
Quantile Importance Sampling
by: Datta, Jyotishka, et al.
Published: (2023)
by: Datta, Jyotishka, et al.
Published: (2023)
Matrix Decomposition-Based Approach to Estimate the STARTS Model
by: Usami, Satoshi
Published: (2026)
by: Usami, Satoshi
Published: (2026)
A New Look at Bayesian Testing
by: Datta, Jyotishka, et al.
Published: (2026)
by: Datta, Jyotishka, et al.
Published: (2026)
The Curious Problem of the Normal Inverse Mean: Robustness and Shrinkage
by: Ghosh, Soham, et al.
Published: (2024)
by: Ghosh, Soham, et al.
Published: (2024)
Polynomial Log-Marginals and Tweedie's Formula : When Is Bayes Possible?
by: Datta, Jyotishka, et al.
Published: (2025)
by: Datta, Jyotishka, et al.
Published: (2025)
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)
A New Spatio-Temporal Model Exploiting Hamiltonian Equations
by: Mazumder, Satyaki, et al.
Published: (2022)
by: Mazumder, Satyaki, et al.
Published: (2022)
Stochastic Block Covariance Matrix Estimation
by: Chen, Yunran, et al.
Published: (2025)
by: Chen, Yunran, et al.
Published: (2025)
Adversarially Perturbed Precision Matrix Estimation
by: Xie, Yiling
Published: (2026)
by: Xie, Yiling
Published: (2026)
Hub Detection in Gaussian Graphical Models
by: Gómez, José Á. Sánchez, et al.
Published: (2025)
by: Gómez, José Á. Sánchez, 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)
Robust Sparse Precision Matrix Estimation and its Application
by: Lu, Zhengke, et al.
Published: (2025)
by: Lu, Zhengke, 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)
Dirichlet Process-based Robust Clustering using the Median-of-Means Estimator
by: Basu, Supratik, et al.
Published: (2023)
by: Basu, Supratik, 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)
Scalar-on-Shape Regression Models for Functional Data Analysis
by: Bhadra, Sayan, et al.
Published: (2024)
by: Bhadra, Sayan, et al.
Published: (2024)
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)
Functional Gaussian Graphical Regression Models For Air Quality Data
by: Fici, Rita, et al.
Published: (2024)
by: Fici, Rita, 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)
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)
A self-supervised learning approach for denoising autoregressive models with additive noise: finite and infinite variance cases
by: Banerjee, Sayantan, et al.
Published: (2025)
by: Banerjee, Sayantan, et al.
Published: (2025)
The conditional saddlepoint approximation for fast and accurate large-scale hypothesis testing
by: Niu, Ziang, et al.
Published: (2024)
by: Niu, Ziang, et al.
Published: (2024)
High-Dimensional Precision Matrix Quadratic Forms: Estimation Framework for $p > n$
by: Hong, Shizhe, et al.
Published: (2026)
by: Hong, Shizhe, et al.
Published: (2026)
Merging two cultures: Deep and statistical learning
by: Anindya Bhadra, et al.
Published: (2024)
by: Anindya Bhadra, et al.
Published: (2024)
Conic Sparsity: Estimation of Regression Parameters in Closed Convex Polyhedral Cones
by: Agarwala, Neha, et al.
Published: (2023)
by: Agarwala, Neha, et al.
Published: (2023)
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)
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)
Causal Inference Under Network Interference
by: Bhadra, Subhankar, et al.
Published: (2025)
by: Bhadra, Subhankar, 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)
Bayesian Inference for Single-factor Graphical Models
by: Marcano, David, et al.
Published: (2025)
by: Marcano, David, et al.
Published: (2025)
Similar Items
-
An Order of Magnitude Time Complexity Reduction for Gaussian Graphical Model Posterior Sampling Using a Reverse Telescoping Block Decomposition
by: Gao, Zejin, et al.
Published: (2025) -
Nonparametric Bayes multiresolution testing for high-dimensional rare events
by: Datta, Jyotishka, et al.
Published: (2023) -
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) -
Inverse Probability Weighting: from Survey Sampling to Evidence Estimation
by: Datta, Jyotishka, et al.
Published: (2022)