Cover Image

Positive-definiteness in separable priors: effects on prior interpretability and inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Carter, Jack Storror, Rossell, David
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A note on incorrect inferences in non-binary qualitative probabilistic networks
by: Carter, Jack Storror
Published: (2022)

Bayesian computation for high-dimensional Gaussian Graphical Models with spike-and-slab priors
by: Sulem, Deborah, et al.
Published: (2025)

Existence of the solution to the graphical lasso
by: Carter, Jack Storror
Published: (2025)

Existence and optimisation of the partial correlation graphical lasso
by: Carter, Jack Storror, et al.
Published: (2025)

Gaussian process priors with Markov properties for effective reproduction number inference
by: Sebastian, Jessalyn N., et al.
Published: (2025)

Penalizing complexity priors for Bayesian inference of circular models
by: Ye, Xiang, et al.
Published: (2025)

Variational inference for approximate objective priors using neural networks
by: Baillie, Nils, et al.
Published: (2025)

Wasserstein complexity penalization priors: a new class of penalizing complexity priors
by: Bolin, David, et al.
Published: (2023)

Staged trees for discrete longitudinal data
by: Carter, Jack Storror, et al.
Published: (2024)

Bayesian inference on Cox regression models using catalytic prior distributions
by: Li, Weihao, et al.
Published: (2023)

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors
by: Fan, Kun, et al.
Published: (2025)

An efficient Monte Carlo method for valid prior-free possibilistic statistical inference
by: Martin, Ryan
Published: (2025)

Bayesian sample size determination using robust commensurate priors with interpretable discrepancy weights
by: Whitehead, Lou E., et al.
Published: (2024)

Bayesian inference for group-level cortical surface image-on-scalar-regression with Gaussian process priors
by: Whiteman, Andrew S., et al.
Published: (2023)

Properly constrained reference priors decay rates for efficient and robust posterior inference
by: Van Biesbroeck, Antoine
Published: (2024)

Mixture priors for replication studies
by: Macrì-Demartino, Roberto, et al.
Published: (2024)

On regional treatment effect assessment using robust MAP priors
by: Zhang, Xin, et al.
Published: (2026)

Translating predictive distributions into informative priors
by: Manderson, Andrew A., et al.
Published: (2023)

Sparsifying transform priors in Gaussian graphical models
by: Gehrmann, Marcus, et al.
Published: (2026)

Infinitely divisible priors for multivariate survival functions
by: Brück, Florian
Published: (2025)

Wavelet shrinkage based on the raised cosine prior
by: Reina, Juliana Marchesi, et al.
Published: (2025)

Encoding and inference on separable effects for sustained treatments
by: Gonzalez-Perez, Ignacio, et al.
Published: (2025)

Adaptive clinical trial design with delayed treatment effects using elicited prior distributions
by: Salsbury, James, et al.
Published: (2025)

An objective non-local prior for skew-symmetric models
by: Rubio, F. J.
Published: (2026)

Opaque prior distributions in Bayesian latent variable models
by: Merkle, Edgar C., et al.
Published: (2023)

A basket trial design based on power priors
by: Baumann, Lukas, et al.
Published: (2023)

Detecting and diagnosing prior and likelihood sensitivity with power-scaling
by: Kallioinen, Noa, et al.
Published: (2021)

On integral priors for multiple comparison in Bayesian model selection
by: Salmerón, Diego, et al.
Published: (2024)

Loss based prior for the degrees of freedom of the Wishart distribution
by: Rossini, Luca, et al.
Published: (2021)

Repulsive mixtures via the sparsity-inducing partition prior
by: Mozdzen, Alexander, et al.
Published: (2025)

A novel reference prior for Gaussian hierarchical models with intrinsic conditional autoregressive random effects
by: Ferreira, Marco A. R.
Published: (2026)

Global-local shrinkage priors for modeling random effects in multivariate spatial small area estimation
by: Nishina, Shushi, et al.
Published: (2026)

Bayesian design for mathematical models of fruit growth based on misspecified prior information
by: Najimuddin, Nushrath, et al.
Published: (2024)

Using prior information to boost power in correlation structure support recovery
by: Ding, Ziyang, et al.
Published: (2021)

Variance prior forms for high-dimensional Bayesian variable selection
by: Moran, Gemma E., et al.
Published: (2018)

On prior smoothing with discrete spatial data in the context of disease mapping
by: Retegui, Garazi, et al.
Published: (2025)

Bayesian non-linear subspace shrinkage using horseshoe priors
by: Duda, Julia Christin, et al.
Published: (2024)

Meta-analytic-predictive priors based on a single study
by: Röver, Christian, et al.
Published: (2025)

A parameterization of anisotropic Gaussian fields with penalized complexity priors
by: Llamazares-Elias, Liam, et al.
Published: (2024)

A class of priors to perform asymmetric Bayesian wavelet shrinkage
by: Sousa, Alex Rodrigo dos Santos
Published: (2024)