Cover Image

Hierarchical inference of evidence using posterior samples

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rinaldi, Stefano, Demasi, Gabriele, Del Pozzo, Walter, Hannuksela, Otto A.
Format:	Preprint
Published:	2024
Subjects:	Methodology 62F15, 62C10
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 on the order of stationary vector autoregressions
by: Binks, Rachel L., et al.
Published: (2023)

Bayesian inference with sources of uncertainty: from confidence modelling to sparse estimation
by: Rosa, Rafael Mouallem, et al.
Published: (2026)

Decision synthesis in monetary policy
by: Chernis, Tony, et al.
Published: (2024)

Pair-based estimators of infection and removal rates for stochastic epidemic models
by: Temple, Seth D., et al.
Published: (2026)

Order selection in GARMA models for count time series: a Bayesian perspective
by: Lastra, Katerine Zuniga, et al.
Published: (2024)

Martingale Posteriors from Score Functions
by: Cui, Fuheng, et al.
Published: (2025)

Stochastic Volatility under Informative Missingness
by: Zhang, Gehui, et al.
Published: (2025)

Leave-group-out cross-validation for latent Gaussian models
by: Liu, Zhedong, et al.
Published: (2022)

Semiparametric Uncertainty Quantification via Isotonized Posterior for Deconvolutions
by: Gili, Francesco, et al.
Published: (2026)

Euclidean mirrors and first-order changepoints in network time series
by: Chen, Tianyi, et al.
Published: (2024)

Structured prior distributions for the covariance matrix in latent factor models
by: Heaps, Sarah Elizabeth, et al.
Published: (2022)

First-order integer-valued autoregressive processes with Generalized Katz innovations
by: Lopez, Ovielt Baltodano, et al.
Published: (2022)

Is control of type I error rate needed in Bayesian clinical trial designs?
by: Arjas, Elja, et al.
Published: (2023)

Bayesian nonparametric models for zero-inflated count-compositional data using ensembles of regression trees
by: Menezes, André F. B., et al.
Published: (2026)

Simultaneous Graphical Dynamic Modeling
by: West, Mike, et al.
Published: (2024)

Consistent DAG selection for Bayesian causal discovery under general error distributions
by: Chaudhuri, Anamitra, et al.
Published: (2025)

A comparison between initialization strategies for the infinite hidden Markov model
by: Cortese, Federico P., et al.
Published: (2025)

Consistent Bayesian causal discovery for structural equation models with equal error variances
by: Chaudhuri, Anamitra, et al.
Published: (2025)

Median Based Unit Weibull Distribution (MBUW): Do the Higher Order Probability Weighted Moments (PWM) Add More Information over the Lower Order PWM in Parameter Estimation
by: Attia, Iman Mohammed
Published: (2024)

Median Based Unit Weibull (MBUW): a new unit distribution Properties
by: Attia, Iman Mohammed
Published: (2024)

Estimation of the Coefficient of Variation of Weibull Distribution under Type-I Progressively Interval Censoring: A Simulation-based Approach
by: Nongrum, Bankitdor M, et al.
Published: (2025)

Bayesian Optimization of Noisy Log-Likelihoods Evaluated by Particle Filters -- One Parameter Case --
by: Kitagawa, Genshiro
Published: (2026)

Shrinkage Estimation and Prediction for Joint Type-II Censored Data from Two Burr-XII Populations
by: Bargoshadi, Soheila Akbari, et al.
Published: (2024)

Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature
by: Adachi, Masaki, et al.
Published: (2022)

Sample continuation in Bayesian hierarchical model via variational inference
by: Liu, Yucong, et al.
Published: (2026)

Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2021)

Upper and lower bounds for local Lipschitz stability of Bayesian posteriors
by: Cvetković, Nada, et al.
Published: (2025)

Asymptotic theory for Bayesian inference and prediction: from the ordinary to a conditional Peaks-Over-Threshold method
by: Dombry, Clément, et al.
Published: (2023)

Robust Bayesian inference for nondestructive one-shot device testing data under competing risk using Hamiltonian Monte Carlo method
by: Baghel, Shanya, et al.
Published: (2023)

Compositional dynamic modelling for causal prediction in multivariate time series
by: Li, Kevin, et al.
Published: (2024)

Hierarchical multinomial processing tree models for meta-analysis of diagnostic accuracy studies
by: Guolo, Annamaria
Published: (2023)

Inference Functionals and Observation Operators for Distributional Statistical Models
by: Labouriau, R.
Published: (2026)

Variational Sequential Optimal Experimental Design using Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2023)

Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
by: Coons, Thomas E., et al.
Published: (2025)

Accurate Bayesian inference for tail risk extrapolation in time series
by: Carl, David L., et al.
Published: (2025)

Robust Bayesian methods using amortized simulation-based inference
by: Yuyan, Wang, et al.
Published: (2025)

Case-crossover designs and overdispersion with application in air pollution epidemiology
by: Perreault, Samuel, et al.
Published: (2024)

Parametric generalized spectrum for heavy-tailed time series
by: Goto, Yuichi, et al.
Published: (2026)

Non-ignorable fuzziness in granular counts: the case of RNA-seq data
by: Calcagnì, Antonio, et al.
Published: (2026)