A graphical framework for interpretable correlation matrix models
Fuente:
arXiv
Saved in:
| Main Authors: | Sterrantino, Anna Freni, Rustand, Denis, van Niekerk, Janet, Krainski, Elias Teixeira, Rue, Håvard |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint
by: Rustand, Denis, et al.
Published: (2024)
by: Rustand, Denis, et al.
Published: (2024)
Bayesian survival analysis with INLA
by: Alvares, Danilo, et al.
Published: (2022)
by: Alvares, Danilo, et al.
Published: (2022)
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
by: Rustand, Denis, et al.
Published: (2022)
by: Rustand, Denis, et al.
Published: (2022)
A new avenue for Bayesian inference with INLA
by: van Niekerk, Janet, et al.
Published: (2022)
by: van Niekerk, Janet, et al.
Published: (2022)
Bayesian survival analysis with INLA
by: Danilo Alvares, et al.
Published: (2024)
by: Danilo Alvares, et al.
Published: (2024)
Penalizing complexity priors for Bayesian inference of circular models
by: Ye, Xiang, et al.
Published: (2025)
by: Ye, Xiang, et al.
Published: (2025)
Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
by: Rustand, Denis, et al.
Published: (2026)
by: Rustand, Denis, et al.
Published: (2026)
A Bayesian regression framework for circular models with INLA
by: Ye, Xiang, et al.
Published: (2026)
by: Ye, Xiang, et al.
Published: (2026)
Scalable skewed Bayesian inference for latent Gaussian models
by: Dutta, Shourya, et al.
Published: (2025)
by: Dutta, Shourya, et al.
Published: (2025)
Low-rank variational Bayes correction to the Laplace method
by: van Niekerk, Janet, et al.
Published: (2021)
by: van Niekerk, Janet, et al.
Published: (2021)
Spatial Gaussian fields for complex areas with application to marine megafauna conservation
by: Heyl, Martina Le-Bert, et al.
Published: (2025)
by: Heyl, Martina Le-Bert, et al.
Published: (2025)
A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
by: Neto, Dionisio Silva, et al.
Published: (2025)
by: Neto, Dionisio Silva, et al.
Published: (2025)
Approximate Bayesian Inference for Structural Equation Models using Integrated Nested Laplace Approximations
by: Jamil, Haziq, et al.
Published: (2026)
by: Jamil, Haziq, et al.
Published: (2026)
Parallel Selected Inversion for Space-Time Gaussian Markov Random Fields
by: Zhumekenov, Abylay, et al.
Published: (2023)
by: Zhumekenov, Abylay, et al.
Published: (2023)
Leave-group-out cross-validation for latent Gaussian models
by: Liu, Zhedong, et al.
Published: (2022)
by: Liu, Zhedong, et al.
Published: (2022)
A robust contaminated discrete Weibull regression model for outlier-prone count data
by: Burger, Divan A., et al.
Published: (2025)
by: Burger, Divan A., et al.
Published: (2025)
Optimal information deletion and Bayes' theorem
by: Montcho, Hans, et al.
Published: (2026)
by: Montcho, Hans, et al.
Published: (2026)
A flexible wrapped Lindley-type distribution for angular data modelling
by: Ferreira, Johan, et al.
Published: (2026)
by: Ferreira, Johan, et al.
Published: (2026)
A framework for interpretation and testing of sparse canonical correlations
by: Senar, Nuria, et al.
Published: (2023)
by: Senar, Nuria, et al.
Published: (2023)
Bayesian models for missing and misclassified variables using integrated nested Laplace approximations
by: Skarstein, Emma, et al.
Published: (2024)
by: Skarstein, Emma, et al.
Published: (2024)
PyINLA: Fast Bayesian Inference for Latent Gaussian Models in Python
by: Fattah, Esmail Abdul, et al.
Published: (2026)
by: Fattah, Esmail Abdul, et al.
Published: (2026)
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
by: Adin, A., et al.
Published: (2023)
by: Adin, A., et al.
Published: (2023)
Bayesian identification of early warning signals for long-range dependent climatic time series
by: Sørbye, Sigrunn H., et al.
Published: (2026)
by: Sørbye, Sigrunn H., et al.
Published: (2026)
Spatio-temporal Occupancy Models with INLA
by: Belmont, Jafet, et al.
Published: (2024)
by: Belmont, Jafet, et al.
Published: (2024)
Integrating Expert Knowledge and Recursive Bayesian Inference: A Framework for Spatial and Spatio-Temporal Data Challenges
by: Figueira, Mario, et al.
Published: (2025)
by: Figueira, Mario, et al.
Published: (2025)
Complementary strengths of the Neyman-Rubin and graphical causal frameworks
by: Gorbach, Tetiana, et al.
Published: (2025)
by: Gorbach, Tetiana, et al.
Published: (2025)
Existence and optimisation of the partial correlation graphical lasso
by: Carter, Jack Storror, et al.
Published: (2025)
by: Carter, Jack Storror, et al.
Published: (2025)
A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models
by: Sogan, Roland B., et al.
Published: (2026)
by: Sogan, Roland B., et al.
Published: (2026)
inlabru: software for fitting latent Gaussian models with non-linear predictors
by: Lindgren, Finn, et al.
Published: (2024)
by: Lindgren, Finn, et al.
Published: (2024)
Outlier-robust copula regression for bivariate continuous proportions: an application to cushion plant vitality
by: Burger, Divan A., et al.
Published: (2025)
by: Burger, Divan A., et al.
Published: (2025)
Lévy graphical models
by: Engelke, Sebastian, et al.
Published: (2024)
by: Engelke, Sebastian, et al.
Published: (2024)
A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance
by: Martínez-Minaya, Joaquín, et al.
Published: (2023)
by: Martínez-Minaya, Joaquín, et al.
Published: (2023)
Sparsifying transform priors in Gaussian graphical models
by: Gehrmann, Marcus, et al.
Published: (2026)
by: Gehrmann, Marcus, et al.
Published: (2026)
Random graphical model of microbiome interactions in related environments
by: Vinciotti, Veronica, et al.
Published: (2023)
by: Vinciotti, Veronica, et al.
Published: (2023)
Robust Bayesian graphical modeling using $γ$-divergence
by: Onizuka, Takahiro, et al.
Published: (2023)
by: Onizuka, Takahiro, et al.
Published: (2023)
Significant inference and confidence sets for graphical models
by: Koldanov, P. A., et al.
Published: (2025)
by: Koldanov, P. A., et al.
Published: (2025)
Bayesian hidden Markov models for latent variable labeling assignments in conflict research: application to the role ceasefires play in conflict dynamics
by: Williams, Jonathan P, et al.
Published: (2021)
by: Williams, Jonathan P, et al.
Published: (2021)
Scalable and non-iterative graphical model estimation
by: Khare, Kshitij, et al.
Published: (2024)
by: Khare, Kshitij, et al.
Published: (2024)
Estimation of the complexity of a network under a Gaussian graphical model
by: Das, Nabaneet, et al.
Published: (2026)
by: Das, Nabaneet, et al.
Published: (2026)
The ladder of abstraction in statistical graphics
by: Gelman, Andrew
Published: (2025)
by: Gelman, Andrew
Published: (2025)
Similar Items
-
Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint
by: Rustand, Denis, et al.
Published: (2024) -
Bayesian survival analysis with INLA
by: Alvares, Danilo, et al.
Published: (2022) -
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
by: Rustand, Denis, et al.
Published: (2022) -
A new avenue for Bayesian inference with INLA
by: van Niekerk, Janet, et al.
Published: (2022) -
Bayesian survival analysis with INLA
by: Danilo Alvares, et al.
Published: (2024)