Image de couverture de livre

Wavelet Latent Position Exponential Random Graphs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Papamichalis, Marios, Ruane, Regina
Format:	Preprint
Publié:	2025
Sujets:	Statistics Theory Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Graphon-Level Bayesian Predictive Synthesis for Random Network
par: Papamichalis, Marios, et autres
Publié: (2025)

CoLaS: Copula-Seeded Sparse Local Graphs with Tunable Assortativity, Persistent Clustering, and a Degree-Tail Dichotomy
par: Papamichalis, Marios, et autres
Publié: (2025)

Collapsed Structured Block Models for Community Detection in Complex Networks
par: Papamichalis, Marios, et autres
Publié: (2026)

State-Space Modeling of Time-Varying Spillovers on Networks
par: Papamichalis, Marios, et autres
Publié: (2025)

Decision-Theoretic Robustness for Network Models
par: Papamichalis, Marios, et autres
Publié: (2026)

Radial Compensation: Fixing Radius Distortion in Chart-Based Generative Models on Riemannian Manifolds
par: Papamichalis, Marios, et autres
Publié: (2025)

E-values for k-Sample Tests With Exponential Families
par: Hao, Yunda, et autres
Publié: (2023)

Optimal E-Values for Exponential Families: the Simple Case
par: Grünwald, Peter, et autres
Publié: (2024)

Exponential Inequalities for Some Mixing Processes and Dynamic Systems
par: Yuan, Zihao, et autres
Publié: (2022)

Exponential Random Graph models for Little Networks
par: Yon, George G. Vega, et autres
Publié: (2019)

A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family
par: Banerjee, Trambak, et autres
Publié: (2019)

Kolmogorov-Type Maximal Inequalities for Independent and Dependent Negative Binomial Random Variables: Sharp Bounds, Sub-Exponential Refinements, and Applications to Overdispersed Count Data
par: Doumas, Aristides V., et autres
Publié: (2026)

Transfer Learning under Group-Label Shift: A Semiparametric Exponential Tilting Approach
par: Cheng, Manli, et autres
Publié: (2025)

Latent confounding in high-dimensional nonlinear models
par: Wang, Yuhao, et autres
Publié: (2025)

Location Tests with Noisy Proxies for Latent Variables
par: Deutsch, Louis, et autres
Publié: (2025)

Robust Model Selection for Discovery of Latent Mechanistic Processes
par: Li, Jiawei, et autres
Publié: (2026)

Statistical Inference on Latent Space Models for Network Data
par: Li, Jinming, et autres
Publié: (2023)

Hyperbolic Network Latent Space Model with Learnable Curvature
par: Li, Jinming, et autres
Publié: (2023)

Random irregular histograms
par: Simensen, Oskar Høgberg, et autres
Publié: (2025)

Generalized Network Psychometrics: Combining Network and Latent Variable Models
par: Epskamp, Sacha, et autres
Publié: (2016)

Latent Gaussian and Hüsler--Reiss Graphical Models with Golazo Penalty
par: Rodríguez, Ignacio Echave-Sustaeta, et autres
Publié: (2024)

Generalised Linear Models Driven by Latent Processes: Asymptotic Theory and Applications
par: Barreto-Souza, Wagner, et autres
Publié: (2026)

Design and Structure Dependent Priors for Scale Parameters in Latent Gaussian Models
par: Gardini, Aldo, et autres
Publié: (2022)

Degree-heterogeneous Latent Class Analysis for High-dimensional Discrete Data
par: Lyu, Zhongyuan, et autres
Publié: (2024)

Testing Random Effects for Binomial Data
par: Kania, Lucas, et autres
Publié: (2025)

Cross-Validation with Antithetic Gaussian Randomization
par: Liu, Sifan, et autres
Publié: (2024)

Bayesian Controlled FDR Variable Selection via Parameter-Expanded Latent Knockoffs
par: Focardi-Olmi, Lorenzo, et autres
Publié: (2024)

Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables
par: Gu, Yuqi
Publié: (2022)

Rethinking Individual Risk and Aggregation in Survival Analysis: A Latent Mechanism Framework
par: Liu, Xijia
Publié: (2026)

Random Dot Product Graphs as Dynamical Systems: Limitations and Opportunities
par: Riva, Giulio Valentino Dalla
Publié: (2026)

Pearson Chi-squared Conditional Randomization Test
par: Javanmard, Adel, et autres
Publié: (2021)

Maximum Ideal Likelihood Estimation: A Unified Inference Framework for Latent Variable Models
par: Cai, Yizhou, et autres
Publié: (2024)

Markov Random Fields with Proximity Constraints for Spatial Data
par: Saha, Sudipto, et autres
Publié: (2024)

Application of Random Matrix Theory in High-Dimensional Statistics
par: Bhattacharyya, Swapnaneel, et autres
Publié: (2024)

Regression Adjustments for Double Randomization in Two-Sided Marketplaces
par: Sudijono, Timothy, et autres
Publié: (2026)

Random measure priors in Bayesian recovery from sketches
par: Beraha, Mario, et autres
Publié: (2023)

Identifying Topological Differences in Two Populations of Random Geometric Objects
par: Kumar, Satish, et autres
Publié: (2026)

Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments
par: Mikhaeil, Jonas M., et autres
Publié: (2024)

Randomization-based confidence sets for the local average treatment effect
par: Aronow, P. M., et autres
Publié: (2024)

Mediation Analysis with Mendelian Randomization and Efficient Multiple GWAS Integration
par: Lyu, Rita Qiuran, et autres
Publié: (2023)