Cover Image

Calibration procedures for approximate Bayesian credible sets

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Jeong Eun, Nicholls, Geoff K., Ryder, Robin J.
Format:	Preprint
Published:	2018
Subjects:	Computation Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian inference for the learning rate in Generalised Bayesian inference
by: Lee, Jeong Eun, et al.
Published: (2025)

Component-wise approximate Bayesian computation via Gibbs-like steps
by: Clarté, Grégoire, et al.
Published: (2019)

Variational approximate penalized credible regions for Bayesian grouped regression
by: Yu, Weichang, et al.
Published: (2026)

An Embedded Diachronic Sense Change Model with a Case Study from Ancient Greek
by: Zafar, Schyan, et al.
Published: (2023)

Non-Parametric Bayesian Inference for Partial Orders with Ties from Rank Data observed with Mallows Noise
by: Chuxuan, et al.
Published: (2024)

Exploring Learning Rate Selection in Generalised Bayesian Inference using Posterior Predictive Checks
by: Zafar, Schyan, et al.
Published: (2024)

Permutations accelerate Approximate Bayesian Computation
by: Luciano, Antoine, et al.
Published: (2025)

Bayesian variance change point detection with credible sets
by: Cappello, Lorenzo, et al.
Published: (2022)

Expressing and visualizing model uncertainty in Bayesian variable selection using Cartesian credible sets
by: Griffin, J. E.
Published: (2024)

Insufficient Gibbs Sampling
by: Luciano, Antoine, et al.
Published: (2023)

Calibrating approximate Bayesian credible intervals of gravitational-wave parameters
by: Mao, Ruiting, et al.
Published: (2023)

Bayesian inference for partial orders from random linear extensions: power relations from 12th Century Royal Acta
by: Nicholls, Geoff K., et al.
Published: (2022)

Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components
by: Carmona, Chris U., et al.
Published: (2020)

Saddlepoint Monte Carlo and its Application to Exact Ecological Inference
by: Voldoire, Théo, et al.
Published: (2024)

Bayesian score calibration for approximate models
by: Bon, Joshua J, et al.
Published: (2022)

Vecchia approximated Bayesian heteroskedastic Gaussian processes
by: Patil, Parul V., et al.
Published: (2025)

Ensemble Kalman inversion approximate Bayesian computation
by: Everitt, Richard G
Published: (2024)

Phylogenetic latent space models for network data
by: Pavone, Federico, et al.
Published: (2025)

Laplace approximation for Bayesian variable selection via Le Cam's one-step procedure
by: Hou, Tianrui, et al.
Published: (2024)

A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series
by: Liu, Yixuan, et al.
Published: (2023)

Gaussian credible intervals in Bayesian nonparametric estimation of the unseen
by: Contardi, Claudia, et al.
Published: (2025)

Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation
by: Pesonen, Henri, et al.
Published: (2023)

Bayesian sparse principal coordinates analysis with delta-tolerant linear approximation for microbiome data
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
by: Li, Wentao, et al.
Published: (2024)

Calibrating Bayesian Inference
by: Liu, Yang, et al.
Published: (2025)

Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
by: Legramanti, Sirio, et al.
Published: (2022)

Elastic Bayesian Model Calibration
by: Francom, Devin, et al.
Published: (2023)

Forecasting sub-population mortality using credibility theory
by: Lindholm, Mathias, et al.
Published: (2025)

Calibrated Generalized Bayesian Inference
by: Frazier, David T., et al.
Published: (2023)

A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs
by: Lee, Clement, et al.
Published: (2023)

Covariance-Corrected WAIC for Bayesian Sequential Data Models
by: Kadhem, Safaa K.
Published: (2025)

Calibrated Bayesian Nonparametric Tolerance Intervals
by: Pourmohamad, Tony, et al.
Published: (2026)

bayesics: Core Statistical Methods via Bayesian Inference in R
by: Sewell, Daniel K., et al.
Published: (2026)

General Bayesian inference for causal effects using covariate balancing procedure
by: Orihara, Shunichiro, et al.
Published: (2024)

Sparse Bayesian multidimensional scaling(s)
by: Sheth, Ami, et al.
Published: (2024)

Spiking the training data to correct for test set contamination
by: Wei, Johnny Tian-Zheng, et al.
Published: (2026)

Reluctant Transfer Learning in Penalized Regressions for Individualized Treatment Rules under Effect Heterogeneity
by: Oh, Eun Jeong, et al.
Published: (2025)

Bayesian Nonparametric Modeling for Multivariate Conditional Copula Regression with Varying Coefficients
by: Jeong, Yujin, et al.
Published: (2026)

Bayesian shared parameter joint models for heterogeneous populations
by: Chen, Sida, et al.
Published: (2024)

Online Bayesian changepoint detection for network Poisson processes with community structure
by: Corneck, Joshua, et al.
Published: (2024)