Cover Image

Bridging Theory and Practice: Statistical Inference for Latent Space Models of Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tian, Yuang, Sun, Jiajin, He, Yinqiu
Format:	Preprint
Published:	2026
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semiparametric Modeling and Analysis for Longitudinal Network Data
by: He, Yinqiu, et al.
Published: (2023)

Efficient Analysis of Latent Spaces in Heterogeneous Networks
by: Tian, Yuang, et al.
Published: (2024)

Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)

Extended Asymptotic Identifiability of Nonparametric Item Response Models
by: He, Yinqiu
Published: (2023)

A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis
by: He, Yinqiu, et al.
Published: (2020)

Hyperbolic Network Latent Space Model with Learnable Curvature
by: Li, Jinming, et al.
Published: (2023)

Structured Optimal Variational Inference for Dynamic Latent Space Models
by: Zhao, Peng, et al.
Published: (2022)

Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
by: Wang, Xueqin, et al.
Published: (2021)

Boosting multi-view association testing via devariation
by: Pan, Ruyi, et al.
Published: (2026)

Rank-adaptive covariance testing with applications to genomics and neuroimaging
by: Veitch, David, et al.
Published: (2023)

Extended Fiducial Inference: Toward an Automated Process of Statistical Inference
by: Liang, Faming, et al.
Published: (2024)

Do More Predictions Improve Statistical Inference? Filtered Prediction-Powered Inference
by: Xu, Shirong, et al.
Published: (2026)

Statistical inference for rough volatility: Minimax Theory
by: Chong, Carsten, et al.
Published: (2022)

The Categorical Instrumental Variable Model: Characterization, Partial Identification, and Statistical Inference
by: Song, Yilin, et al.
Published: (2024)

Statistical Inference for Subgraph Frequencies of Exchangeable Hyperedge Models
by: Bhattacharya, Ayoushman, et al.
Published: (2025)

Online Statistical Inference in Decision-Making with Matrix Context
by: Han, Qiyu, et al.
Published: (2022)

Moment-Based Adjustments of Statistical Inference in High-Dimensional Generalized Linear Models
by: Sawaya, Kazuma, et al.
Published: (2023)

Indirect Statistical Inference with Guaranteed Necessity and Sufficiency
by: Zhang, Z, et al.
Published: (2025)

Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)

Projective, Sparse, and Learnable Latent Position Network Models
by: Spencer, Neil A., et al.
Published: (2017)

Statistical Inference in Causal Partial Identification with Smooth Densities
by: Lin, Sirui, et al.
Published: (2026)

Statistical Inference for Linear Functions of Eigenvectors with Small Eigengaps
by: Agterberg, Joshua
Published: (2023)

Statistical Inference for Cell Type Deconvolution
by: Xie, Dongyue, et al.
Published: (2022)

Identification and Statistical Decision Theory
by: Manski, Charles F.
Published: (2022)

Generalized Network Psychometrics: Combining Network and Latent Variable Models
by: Epskamp, Sacha, et al.
Published: (2016)

Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice
by: Zhou, Tian-Yi, et al.
Published: (2024)

Generalised Linear Models Driven by Latent Processes: Asymptotic Theory and Applications
by: Barreto-Souza, Wagner, et al.
Published: (2026)

Attributed Network Alignment: Statistical Limits and Efficient Algorithm
by: Huang, Dong, et al.
Published: (2026)

Statistical Inference under Performativity
by: Li, Xiang, et al.
Published: (2025)

Post-Hoc Large-Sample Statistical Inference
by: Chugg, Ben, et al.
Published: (2026)

Robust Max Statistics for High-Dimensional Inference
by: Liu, Mingshuo, et al.
Published: (2024)

Profile Likelihood Inference for Anisotropic Hyperbolic Wrapped Normal Models on Hyperbolic Space
by: You, Kisung
Published: (2026)

Maximum Ideal Likelihood Estimation: A Unified Inference Framework for Latent Variable Models
by: Cai, Yizhou, et al.
Published: (2024)

Statistical Inference for Misspecified Contextual Bandits
by: Guo, Yongyi, et al.
Published: (2025)

Statistical Inference with Nonignorable Non-Probability Survey Samples
by: Liu, Yang, et al.
Published: (2024)

Statistical Inference on Gradient Flows
by: Li, Tongyu, et al.
Published: (2026)

Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps
by: Ma, Wanteng, et al.
Published: (2024)

Hessian Geometry of Latent Space in Generative Models
by: Lobashev, Alexander, et al.
Published: (2025)

Statistical Inference for Random Unknowns via Modifications of Extended Likelihood
by: Lee, Hangbin, et al.
Published: (2023)

Frequency Domain Statistical Inference for High-Dimensional Time Series
by: Krampe, Jonas, et al.
Published: (2022)