Cover Image

Exchangeability, prediction and predictive modeling in Bayesian statistics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fortini, Sandra, Petrone, Sonia
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quasi-Bayes properties of a recursive procedure for mixtures
by: Fortini, Sandra, et al.
Published: (2019)

Empirical Bayes in Bayesian learning: understanding a common practice
by: Rizzelli, Stefano, et al.
Published: (2024)

Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics
by: Rebaudo, Giovanni, et al.
Published: (2021)

Exchangeable random permutations with an application to Bayesian graph matching
by: Gaffi, Francesco, et al.
Published: (2026)

CBMA: Improving conformal prediction through Bayesian model averaging
by: Bhagwat, Pankaj, et al.
Published: (2025)

Bayesian calculus and predictive characterizations of extended feature allocation models
by: Beraha, Mario, et al.
Published: (2025)

Entropy of Exchangeable Random Graphs
by: Skeja, Anda, et al.
Published: (2023)

Nearly minimax empirical Bayesian prediction of independent Poisson observables
by: Li, Xiao
Published: (2023)

Split Conformal Prediction and Non-Exchangeable Data
by: Oliveira, Roberto I., et al.
Published: (2022)

Asymptotic Inference for Exchangeable Gibbs Partitions
by: Koriyama, Takuya
Published: (2025)

On the large-sample limits of some Bayesian model evaluation statistics
by: Nguyen, Hien Duy, et al.
Published: (2025)

Maximal Inequalities for Separately Exchangeable Empirical Processes
by: Chiang, Harold D.
Published: (2025)

Valid model-free spatial prediction
by: Mao, Huiying, et al.
Published: (2020)

Measuring Partial Exchangeability with Reproducing Kernel Hilbert Spaces
by: Catalano, Marta, et al.
Published: (2025)

Statistical Inference for Subgraph Frequencies of Exchangeable Hyperedge Models
by: Bhattacharya, Ayoushman, et al.
Published: (2025)

A semiparametric autorregresive spatial prediction model
by: Arancibia, Rodrigo García, et al.
Published: (2026)

Posterior inference via Hill's prediction model
by: Bissiri, Pier Giovanni, et al.
Published: (2026)

Measuring Evidence against Exchangeability and Group Invariance with E-values
by: Koning, Nick W.
Published: (2023)

On optimal linear prediction
by: Helland, Inge S.
Published: (2024)

A sparse PAC-Bayesian approach for high-dimensional quantile prediction
by: Mai, The Tien
Published: (2024)

Bayesian nonparametric statistics, St-Flour lecture notes
by: Castillo, Ismaël
Published: (2024)

Detection of Block-Exchangeable Structure in Large-Scale Correlation Matrices
by: Perreault, Samuel, et al.
Published: (2017)

On MCMC mixing for predictive inference under unidentified transformation models
by: Zhong, Chong, et al.
Published: (2024)

On the modelling and prediction of high-dimensional functional time series
by: Chang, Jinyuan, et al.
Published: (2024)

Information-geometrical characterization of statistical models which are statistically equivalent to probability simplexes
by: Nagaoka, Hiroshi
Published: (2017)

FDR control and FDP bounds for conformal link prediction
by: Blanchard, Gilles, et al.
Published: (2024)

Asymmetric conformal prediction with penalized kernel sum-of-squares
by: Allain, Louis, et al.
Published: (2026)

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022)

New robust inference for predictive regressions
by: Ibragimov, Rustam, et al.
Published: (2020)

A matrix algebra for graphical statistical models
by: Zhao, Qingyuan
Published: (2024)

A non-asymptotic upper bound in prediction for the PLS estimator
by: Castelli, Luca, et al.
Published: (2024)

Weak convergence of predictive distributions
by: Leisen, Fabrizio, et al.
Published: (2025)

Asymptotically well-calibrated Bayesian $p$-value using the Kolmogorov-Smirnov statistic
by: Shen, Yueming, et al.
Published: (2025)

Wild refitting for black box prediction
by: Wainwright, Martin J.
Published: (2025)

Approximate full conformal prediction in an RKHS
by: Razafindrakoto, Davidson Lova, et al.
Published: (2026)

Asymptotics of predictive distributions driven by sample means and variances
by: Garelli, Samuele, et al.
Published: (2024)

Self-normalized tests for multistep conditional predictive ability
by: Chen, Qitong, et al.
Published: (2026)

Algorithmic stability implies training-conditional coverage for distribution-free prediction methods
by: Liang, Ruiting, et al.
Published: (2023)

On statistical and causal models associated with acyclic directed mixed graphs
by: Zhao, Qingyuan
Published: (2025)

Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection
by: Lacroix, Perrine, et al.
Published: (2023)