Cover Image

A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Alex, Mills, Cathal, Marignier, Augustin, Kim, Younjung, Lambert, Ben
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

Response to: "A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference" by Yan et al., 2026
by: Mosegaard, Klaus, et al.
Published: (2026)

Bayesian inference: More than Bayes's theorem
by: Loredo, Thomas J., et al.
Published: (2024)

On robust Bayesian causal inference
by: Alexopoulos, Angelos, et al.
Published: (2025)

Bayesian inference for stochastic oscillatory systems using the phase-corrected Linear Noise Approximation
by: Swallow, Ben, et al.
Published: (2022)

A new avenue for Bayesian inference with INLA
by: van Niekerk, Janet, et al.
Published: (2022)

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

A cautionary note for plasmode simulation studies in the setting of causal inference
by: Shaw, Pamela A, et al.
Published: (2025)

Bayesian inference for aggregated Hawkes processes
by: Zhou, Lingxiao, et al.
Published: (2022)

Objective Bayesian inference for the Dhillon distribution
by: Ramos, Pedro Luiz, et al.
Published: (2025)

A decision-theoretic framework for uncertainty quantification in epidemiological modelling
by: Steyn, Nicholas, et al.
Published: (2025)

Partially Bayes p-values for large scale inference
by: Ignatiadis, Nikolaos, et al.
Published: (2025)

Blessing of dimension in Bayesian inference on covariance matrices
by: Chattopadhyay, Shounak, et al.
Published: (2024)

Distribution-Free Bayesian multivariate predictive inference
by: Yekutieli, Daniel
Published: (2021)

Bayesian inference of vector autoregressions with tensor decompositions
by: Luo, Yiyong, et al.
Published: (2022)

Bayesian inference for velocity-jump models for movement
by: Blackwell, Paul G.
Published: (2025)

Statistical inference for radial generalized Pareto distributions and return sets in geometric extremes
by: Papastathopoulos, Ioannis, et al.
Published: (2023)

Bayesian inference of Latent Spectral Shapes
by: Yip, Hiu Ching, et al.
Published: (2024)

Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature
by: Howes, Adam, et al.
Published: (2025)

Fast and robust cross-validation-based scoring rule inference for spatial statistics
by: Olafsdottir, Helga Kristin, et al.
Published: (2024)

Bayesian inference of sparsity in stable vector autoregressive processes
by: Heaps, Sarah E., et al.
Published: (2026)

Calibrating hierarchical Bayesian domain inference for a proportion
by: Lei, Rayleigh, et al.
Published: (2025)

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

Scalable skewed Bayesian inference for latent Gaussian models
by: Dutta, Shourya, et al.
Published: (2025)

Scalable Bayesian inference on high-dimensional multivariate linear regression
by: Cao, Xuan, et al.
Published: (2025)

Bayesian inference for Neyman-Scott point processes with anisotropic clusters
by: Dvořák, Jiří, et al.
Published: (2025)

Efficient Bayesian inference for two-stage models in environmental epidemiology
by: Larin, Konstantin, et al.
Published: (2025)

A strategy to avoid particle depletion in recursive Bayesian inference
by: Scharf, Henry R.
Published: (2025)

Variational inference for hierarchical models with conditional scale and skewness corrections
by: Kock, Lucas, et al.
Published: (2025)

A note on auxiliary mixture sampling for Bayesian Poisson models
by: Gardini, Aldo, et al.
Published: (2025)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)

A note on wavelet shrinkage in nonparametric regression models with ARFIMA errors
by: Sousa, Alex Rodrigo dos S., et al.
Published: (2025)

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

Spectral domain likelihoods for Bayesian inference in time-varying parameter models
by: Gustafsson, Oskar, et al.
Published: (2024)

Bayesian inference of antibody evolutionary dynamics using multitype branching processes
by: Bakis, Athanasios G., et al.
Published: (2025)

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

BayesFBHborrow: An R Package for Bayesian borrowing for time-to-event data from a flexible baseline hazard
by: Axillus, Sophia, et al.
Published: (2024)

Bayesian model criticism using uniform parametrization checks
by: Covington, Christian T., et al.
Published: (2025)

A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
by: Ma, Li, et al.
Published: (2024)

Bayesian inference and cure rate modeling for event history data
by: Papastamoulis, Panagiotis, et al.
Published: (2023)

Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)