Cover Image

Parametric Bootstrap for Fixed Edge-Probability Network Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shao, Zhixuan, Le, Can M.
Format:	Preprint
Published:	2024
Subjects:	Methodology 62H12 (Primary) 62H30 (Secondary)
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Clustering Multivariate Time Series using Energy Distance
by: Davis, Richard A., et al.
Published: (2023)

Bayesian Benefit-Risk Assessment with Dependent Outcomes via Latent Factor Models
by: Vamvourellis, Konstantinos, et al.
Published: (2022)

Network Cross-Validation for Nested Models by Edge-Sampling
by: Yang, Bokai, et al.
Published: (2025)

Semiparametric marginal promotion time cure model for clustered survival data
by: Xiao, Fei, et al.
Published: (2025)

Copula Modelling of Serially Correlated Multivariate Data with Hidden Structures
by: Zimmerman, Robert, et al.
Published: (2022)

Bayesian Joint Modeling of Interrater and Intrarater Reliability with Multilevel Data
by: Hawila, Nour, et al.
Published: (2024)

Dissecting Microbial Community Structure and Heterogeneity via Multivariate Covariate-Adjusted Clustering
by: Liu, Zhongmao, et al.
Published: (2025)

Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts
by: Nguyen, TrungTin, et al.
Published: (2020)

Variance component mixture modelling for longitudinal T-cell receptor clonal dynamics
by: Swanson, David, et al.
Published: (2025)

Restrictions of PCBNs for integration-free computations
by: Derumigny, Alexis, et al.
Published: (2025)

Subspace decompositions for association structure learning in multivariate categorical response regression
by: Zhao, Hongru, et al.
Published: (2024)

Evaluating the role of correlation among markers in prediction models
by: Sabroso-Lasa, Sergio, et al.
Published: (2026)

Bayesian Analysis of Spiked Covariance Models: Correcting Eigenvalue Bias and Determining the Number of Spikes
by: Lee, Kwangmin, et al.
Published: (2024)

On the spherical Laplace distribution
by: You, Kisung, et al.
Published: (2022)

Estimation of Shannon differential entropy: An extensive comparative review
by: Madukaife, Mbanefo S., et al.
Published: (2024)

A General Bayesian Nonparametric Approach for Estimating Population-Level and Conditional Causal Effects
by: Hur, Yongseok, et al.
Published: (2025)

Statistical Inference for Low-Rank Tensor Models
by: Xu, Ke, et al.
Published: (2025)

Spatio-temporal patterns of diurnal temperature: a random matrix approach I-case of India
by: Bhattacharjee, Madhuchhanda, et al.
Published: (2024)

Eliciting core spatial association from spatial time series: a random matrix approach
by: Bhattacharjee, Madhuchhanda, et al.
Published: (2026)

Simultaneous Heterogeneity and Reduced-rank Learning for Multivariate Response Regression
by: Wu, Jie, et al.
Published: (2025)

Spectral embedding and the latent geometry of multipartite networks
by: Modell, Alexander, et al.
Published: (2022)

Bi-dendrograms for clustering the categories of a multivariate categorical data set
by: Greenacre, Michael, et al.
Published: (2025)

Nonparametric Envelopes for Flexible Response Reduction
by: Jacobson, Tate
Published: (2025)

Information criteria for the number of directions of extremes in high-dimensional data
by: Butsch, Lucas, et al.
Published: (2024)

Minimum $Φ$-distance estimators for finite mixing measures
by: Wei, Yun, et al.
Published: (2023)

Linear Discriminant Analysis with High-dimensional Mixed Variables
by: Jiang, Binyan, et al.
Published: (2021)

Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond
by: Wells, Lennie, et al.
Published: (2024)

Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks
by: Modell, Alexander, et al.
Published: (2023)

Binary Regression and Classification with Covariates in Metric Spaces
by: Lin, Yinan, et al.
Published: (2023)

Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior
by: Kim, Seongmin, et al.
Published: (2025)

On Testing Kronecker Product Structure in Tensor Factor Models
by: Cen, Zetai, et al.
Published: (2025)

Identification and Estimation of Multi-order Tensor Factor Models
by: Cen, Zetai
Published: (2025)

Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model
by: Westphal, Max
Published: (2019)

Semiparametric copula-based quantile regression for semicontinuous outcomes with application to healthcare data
by: Lyu, Guanjie, et al.
Published: (2026)

Reduced-Rank Autoregressive Model for High-Dimensional Multivariate Network Time Series
by: Lyu, Qi, et al.
Published: (2026)

A new multivariate Poisson model
by: Murphy, Orla A., et al.
Published: (2024)

Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
by: Lee, JoonHo
Published: (2026)

Robust spectral clustering with rank statistics
by: Cape, Joshua, et al.
Published: (2024)

Non-Steepness and Maximum Likelihood Estimation Properties of the Truncated Multivariate Normal Distributions
by: Levine, Michael, et al.
Published: (2023)

Additive Logistic Models as Interpretable Likelihood-Ratio Scores for AUC-Based Classification
by: Chang, Yuan-chin Ivan
Published: (2015)