:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Su, Wenqing, Guo, Xiao, Yang, Ying
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	https://arxiv.org/abs/2406.11152
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spectral co-Clustering in Multi-layer Directed Networks
by: Su, Wenqing, et al.
Published: (2023)

Fundamental Limits of Spectral Clustering in Stochastic Block Models
by: Zhang, Anderson Ye
Published: (2023)

Information-Theoretic Limits and Strong Consistency on Binary Non-uniform Hypergraph Stochastic Block Models
by: Wang, Hai-Xiao
Published: (2023)

Multiple Hypothesis Testing To Estimate The Number Of Communities in Stochastic Block Models
by: Jha, Chetkar, et al.
Published: (2025)

Universal Graph Compression: Stochastic Block Models
by: Bhatt, Alankrita, et al.
Published: (2020)

Node-Private Community Detection in Stochastic Block Models
by: Klopp, Olga, et al.
Published: (2026)

Normalized Likelihood Criteria for Model Selection in the Stochastic Block Model
by: Cerqueira, Andressa, et al.
Published: (2026)

Counting communities in weighted Stochastic Block Models via semidefinite programming
by: Oliveira, Deborah, et al.
Published: (2025)

Graph Quasirandomness for Hypothesis Testing of Stochastic Block Models
by: Bangachev, Kiril, et al.
Published: (2025)

Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models
by: Zhang, Ning, et al.
Published: (2024)

Fundamental Limits of Community Detection in Contextual Multi-Layer Stochastic Block Models
by: Gong, Shuyang, et al.
Published: (2026)

Optimal recovery by maximum and integrated conditional likelihood in the general Stochastic Block Model
by: Cerqueira, Andressa, et al.
Published: (2023)

Additive Matrix Integer-Valued Autoregressive Model
by: Cui, Kaiyan, et al.
Published: (2026)

Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
by: Alegría, Alfredo
Published: (2024)

Reduce-Rank Matrix Integer-Valued Autoregressive Model
by: Cui, Kaiyan, et al.
Published: (2025)

The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models
by: Gunderson, Lee M, et al.
Published: (2024)

Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models
by: Queric, Simon, et al.
Published: (2026)

Iterative Collaborative Filtering for Sparse Matrix Estimation
by: Borgs, Christian, et al.
Published: (2017)

Asymptotic Results for Penalized Quasi-Likelihood Estimation in Generalized Linear Mixed Models
by: Ning, Xu, et al.
Published: (2024)

Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities
by: Carpentier, Alexandra, et al.
Published: (2025)

Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model
by: Dumitriu, Ioana, et al.
Published: (2021)

Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model
by: Dumitriu, Ioana, et al.
Published: (2023)

Factor Strength Estimation in Vector and Matrix Time Series Factor Models
by: Chen, Weilin, et al.
Published: (2024)

Statistical Limits for Finite-Rank Tensor Estimation
by: Rossetti, Riccardo, et al.
Published: (2025)

Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models
by: Yan, Hao, et al.
Published: (2024)

Matrix norm shrinkage estimators and priors
by: Li, Xiao, et al.
Published: (2024)

Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities (II)
by: Carpentier, Alexandra, et al.
Published: (2025)

Minimax Optimal Probability Matrix Estimation For Graphon With Spectral Decay
by: Chen, Yuchen, et al.
Published: (2024)

Parameter and State Estimation in Queues and Related Stochastic Models: A Bibliography
by: Asanjarani, Azam, et al.
Published: (2017)

Estimation of Models with Limited Data by Leveraging Shared Structure
by: Rui, Maryann, et al.
Published: (2023)

Asymptotic Theory for Estimation of the Husler-Reiss Distribution via Block Maxima Method
by: Flury, Hank, et al.
Published: (2024)

High-dimensional Clustering and Signal Recovery under Block Signals
by: Su, Wu, et al.
Published: (2025)

Transfer Learning on Edge Connecting Probability Estimation under Graphon Model
by: Wang, Yuyao, et al.
Published: (2025)

Maximum Likelihood Estimation of the Parameters of Matrix Variate Symmetric Laplace Distribution
by: Yadav, Pooja, et al.
Published: (2025)

A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization
by: Chen, Junren, et al.
Published: (2025)

Sub-Gaussian High-Dimensional Covariance Matrix Estimation under Elliptical Factor Model with 2 + εth Moment
by: Ding, Yi, et al.
Published: (2024)

Limiting Spectral Distribution of a Random Commutator Matrix
by: Hazarika, Javed, et al.
Published: (2024)

Topics in Probability, Parametric Estimation and Stochastic Calculus
by: de Lima, Levi Lopes
Published: (2025)

Stochastic Trace and Diagonal Estimator for Tensors
by: Verma, Bhisham Dev, et al.
Published: (2025)

Estimation of Stochastic Optimal Transport Maps
by: Nietert, Sloan, et al.
Published: (2025)