Cover Image

Graphon-Level Bayesian Predictive Synthesis for Random Network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Papamichalis, Marios, Ruane, Regina
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Wavelet Latent Position Exponential Random Graphs
by: Papamichalis, Marios, et al.
Published: (2025)

Collapsed Structured Block Models for Community Detection in Complex Networks
by: Papamichalis, Marios, et al.
Published: (2026)

State-Space Modeling of Time-Varying Spillovers on Networks
by: Papamichalis, Marios, et al.
Published: (2025)

CoLaS: Copula-Seeded Sparse Local Graphs with Tunable Assortativity, Persistent Clustering, and a Degree-Tail Dichotomy
by: Papamichalis, Marios, et al.
Published: (2025)

Decision-Theoretic Robustness for Network Models
by: Papamichalis, Marios, et al.
Published: (2026)

Radial Compensation: Fixing Radius Distortion in Chart-Based Generative Models on Riemannian Manifolds
by: Papamichalis, Marios, et al.
Published: (2025)

Bayesian Conformal Prediction via the Bayesian Bootstrap
by: Gibson, Graham
Published: (2025)

Random measure priors in Bayesian recovery from sketches
by: Beraha, Mario, et al.
Published: (2023)

Bayesian Conformal-Projective Prediction
by: Roy, Arkaprava, et al.
Published: (2026)

Bayesian Predictive Inference Beyond Martingales
by: Battiston, Marco, et al.
Published: (2025)

Bayesian Calibration for Prediction in a Multi-Output Transposition Context
by: Sire, Charlie, et al.
Published: (2024)

Principled Estimation and Prediction with Competing Risks: a Bayesian Nonparametric Approach
by: Del Sole, Claudio, et al.
Published: (2026)

Bayesian Geostatistics Using Predictive Stacking
by: Zhang, Lu, et al.
Published: (2023)

Consistent Bayesian Spatial Domain Partitioning Using Predictive Spanning Tree Methods
by: Huang, Kun, et al.
Published: (2025)

Concentration and Calibration in Predictive Bayesian Inference
by: Frazier, David T., et al.
Published: (2026)

Bayesian Global-Local Regularization
by: Datta, Jyotishka, et al.
Published: (2025)

The Bayesian Infinitesimal Jackknife for Variance
by: Giordano, Ryan, et al.
Published: (2023)

Bayesian change-plane regression
by: Ohnishi, Yuki, et al.
Published: (2026)

Random irregular histograms
by: Simensen, Oskar Høgberg, et al.
Published: (2025)

Singularities in Bayesian Inference: Crucial or Overstated?
by: De Iorio, Maria, et al.
Published: (2025)

Curse of Dimensionality in Bayesian Model Updating
by: Binbin, Li, et al.
Published: (2025)

Likelihood distortion and Bayesian local robustness
by: Di Noia, Antonio, et al.
Published: (2024)

A New Look at Bayesian Testing
by: Datta, Jyotishka, et al.
Published: (2026)

Bayesian Dynamic Quantile Model Averaging
by: Bernardi, Mauro, et al.
Published: (2016)

An Efficient Approach to Design Bayesian Platform Trials
by: Hagar, Luke, et al.
Published: (2025)

The Bayesian Way: Uncertainty, Learning, and Statistical Reasoning
by: Sosa, Juan, et al.
Published: (2025)

Local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)

Bayesian shrinkage priors subject to linear constraints
by: Ling, Zhi, et al.
Published: (2025)

Asymptotic guarantees for Bayesian phylogenetic tree reconstruction
by: Kirichenko, Alisa, et al.
Published: (2025)

Hybrid Bayesian Estimation in the additive hazards model
by: Álvarez, Enrique Ernesto, et al.
Published: (2025)

Direct Bayesian Regression for Distribution-valued Covariates
by: Tang, Bohao, et al.
Published: (2023)

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

Bayesian $L_{\frac{1}{2}}$ regression
by: Ke, Xiongwen, et al.
Published: (2021)

Bayesian Quantile Estimation and Regression with Martingale Posteriors
by: Fong, Edwin, et al.
Published: (2024)

Scores for Multivariate Distributions and Level Sets
by: Meng, Xiaochun, et al.
Published: (2020)

Testing Random Effects for Binomial Data
by: Kania, Lucas, et al.
Published: (2025)

Cross-Validation with Antithetic Gaussian Randomization
by: Liu, Sifan, et al.
Published: (2024)

Bayesian Discrepancy Measure: Higher-order and Skewed approximations
by: Bortolato, Elena, et al.
Published: (2025)

A Bayesian decision-theoretic approach to sparse estimation
by: Li, Aihua, et al.
Published: (2025)

Bayesian Sphere-on-Sphere Regression with Optimal Transport Maps
by: Ng, Tin Lok James, et al.
Published: (2025)