Cover Image

Loss based prior for the degrees of freedom of the Wishart distribution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rossini, Luca, Villa, Cristiano, Prevenas, Sotiris, McCrea, Rachel
Format:	Preprint
Published:	2021
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A continuous-time Markov chain framework for population size estimation from multi-list data: accounting for absorbing lists and asymmetric interactions
by: Schaller, Ophélie, et al.
Published: (2026)

Loss-based prior for tree topologies in BART models
by: Serafini, F., et al.
Published: (2024)

The General Formulation of Loss-Based Priors for Parameter Spaces
by: Villa, Cristiano
Published: (2026)

Logistic regression models: practical induced prior specification
by: Newman, Ken B., et al.
Published: (2025)

On Elliptical and Inverse Elliptical Wishart distributions
by: Ayadi, Imen, et al.
Published: (2024)

Off the Shelves
by: McCrea, Bridget
Published: (2013)

New sampling approaches for Shrinkage Inverse-Wishart distribution
by: Jiang, Yiye
Published: (2025)

Addressing researcher degrees of freedom through minP adjustment
by: Mandl, Maximilian M, et al.
Published: (2024)

A tool to determine the degrees of freedom in tree-structured varying coefficient models
by: Spuck, Nikolai, et al.
Published: (2026)

Model-based clustering for covariance matrices via penalized Wishart mixture models
by: Cappozzo, Andrea, et al.
Published: (2024)

Thinning a Wishart Random Matrix
by: Dharamshi, Ameer, et al.
Published: (2025)

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

Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning
by: Ayadi, Imen, et al.
Published: (2024)

Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications
by: Iacopini, Matteo, et al.
Published: (2022)

Conditional Copula models using loss-based Bayesian Additive Regression Trees
by: Basu, Tathagata, et al.
Published: (2025)

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

Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior
by: Kim, Seongmin, et al.
Published: (2025)

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

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

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

Static and Dynamic BART for Rank-Order Data
by: Iacopini, Matteo, et al.
Published: (2023)

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

Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo
by: Huijsdens, Hester, et al.
Published: (2024)

Positive-definiteness in separable priors: effects on prior interpretability and inference
by: Carter, Jack Storror, et al.
Published: (2026)

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

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

Bayesian Markov-Switching Partial Reduced-Rank Regression
by: Pintado, Maria F., et al.
Published: (2025)

Bayesian Partial Reduced-Rank Regression
by: Pintado, Maria F., et al.
Published: (2024)

Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
by: Pintado, Maria F., et al.
Published: (2023)

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

Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization
by: Sloman, Sabina J., et al.
Published: (2023)

Mixture-of-experts Wishart model for covariance matrices with an application to Cancer drug screening
by: Mai, The Tien, et al.
Published: (2026)

Joint survival annuity derivative valuation in the linear-rational Wishart mortality model
by: Da Fonseca, Jose, et al.
Published: (2026)

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

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

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

Model selection-based estimation for generalized additive models using mixtures of g-priors: Towards systematization
by: Kang, Gyeonghun, et al.
Published: (2023)

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

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

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