Copertina

Identifiability and Consistent Estimation for Gaussian Chain Graph Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Ruixuan, Zhang, Haoran, Wang, Junhui
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Multilayer Probit Network Model for Community Detection with Dependent Edges and Layers
di: Shi, Dapeng, et al.
Pubblicazione: (2026)

Time Series Gaussian Chain Graph Models
di: Fang, Qin, et al.
Pubblicazione: (2026)

Quasi-Bayesian Estimation and Inference with Control Functions
di: Liu, Ruixuan, et al.
Pubblicazione: (2024)

Estimation and Statistical Inference for Generalized Multilayer Latent Space Model
di: Liu, Zhaozhe, et al.
Pubblicazione: (2026)

Consistent community detection in multi-layer networks with heterogeneous differential privacy
di: Zhen, Yaoming, et al.
Pubblicazione: (2024)

Rank Aggregation under Weak Stochastic Transitivity via a Maximum Score Estimator
di: Zhang, Haoran, et al.
Pubblicazione: (2025)

Scalable Bayesian inference for heat kernel Gaussian processes on manifolds
di: He, Junhui, et al.
Pubblicazione: (2024)

Community detection in heterogeneous signed networks
di: Wang, Yuwen, et al.
Pubblicazione: (2025)

Identifiability of causal effects with non-Gaussianity and auxiliary covariates
di: Shuai, Kang, et al.
Pubblicazione: (2023)

Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure
di: Kilian, Valentin, et al.
Pubblicazione: (2024)

High-Dimensional Tests for Elliptical Models via Radial--Directional Dependence
di: Zhang, Haoran, et al.
Pubblicazione: (2026)

Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions
di: Spady, Richard, et al.
Pubblicazione: (2020)

Confidence Intervals for Rate Estimation with Importance Sampling in Autonomous Vehicle Evaluation
di: Chen, Aiyou, et al.
Pubblicazione: (2026)

A Note on the Identifiability of the Degree-Corrected Stochastic Block Model
di: Park, John, et al.
Pubblicazione: (2024)

Linear Model Estimators and Consistency under an Infill Asymptotic Domain
di: Natoli, Cory W., et al.
Pubblicazione: (2024)

Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
di: Bellio, Ruggero, et al.
Pubblicazione: (2023)

Asymptotic Theory for Regularized Estimation in Functional Time Series Models
di: Niu, Ying, et al.
Pubblicazione: (2025)

Two-stage Estimation of Latent Variable Regression Models: A General, Root-N Consistent Solution
di: Liu, Yang, et al.
Pubblicazione: (2026)

Zero-Inflated Logistic Regression Models with Shared Design: Identifiability, Existence of Estimates, and a Relabeling Rule
di: Tomo, Yui, et al.
Pubblicazione: (2026)

Revisiting Penalized Likelihood Estimation for Gaussian Processes
di: Mutoh, Ayumi, et al.
Pubblicazione: (2025)

Hub Detection in Gaussian Graphical Models
di: Gómez, José Á. Sánchez, et al.
Pubblicazione: (2025)

Gaussian Invariant Markov Chain Monte Carlo
di: Titsias, Michalis K., et al.
Pubblicazione: (2025)

Applying the Polynomial Maximization Method to Estimate ARIMA Models with Asymmetric Non-Gaussian Innovations
di: Zabolotnii, Serhii
Pubblicazione: (2025)

Model Selection and Parameter Estimation of One-Dimensional Gaussian Mixture Models
di: Liu, Xinyu, et al.
Pubblicazione: (2024)

Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix
di: Bhadra, Anindya, et al.
Pubblicazione: (2022)

Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
di: He, Junhui, et al.
Pubblicazione: (2024)

Robust Estimation of Double Autoregressive Models via Normal Mixture QMLE
di: Chen, Zhao, et al.
Pubblicazione: (2025)

Log-Gaussian Cox Processes on General Metric Graphs
di: Bolin, David, et al.
Pubblicazione: (2025)

Gaussian Mixture Model with Rare Events
di: Li, Xuetong, et al.
Pubblicazione: (2024)

Identifying the desert decision rule to assess and achieve fairness
di: Zhang, Ping, et al.
Pubblicazione: (2026)

Estimating the EVSI with Gaussian Approximations and Spline-Based Series Methods
di: Li, Linke, et al.
Pubblicazione: (2024)

Identifiability of Latent Class Models with Covariates
di: Ouyang, Jing, et al.
Pubblicazione: (2021)

High-Dimensional Covariate-Dependent Gaussian Graphical Models
di: Wang, Jiacheng, et al.
Pubblicazione: (2025)

Direct estimation and inference of higher-level correlations from lower-level measurements with applications in gene-pathway and proteomics studies
di: Wang, Yue, et al.
Pubblicazione: (2024)

Two-stage Design for Failure Probability Estimation with Gaussian Process Surrogates
di: Booth, Annie S., et al.
Pubblicazione: (2024)

Estimation of the complexity of a network under a Gaussian graphical model
di: Das, Nabaneet, et al.
Pubblicazione: (2026)

Consistent Variable Selection for GARCH-X Models
di: Zambom, Adriano Zanin, et al.
Pubblicazione: (2026)

Identifiability and Inference for Generalized Latent Factor Models
di: Cui, Chengyu, et al.
Pubblicazione: (2025)

Finite-Sample Risk Approximation and Risk-Consistent Tuning for Generalized Ridge Estimation in Nonlinear Models: Controlling Extreme Realizations
di: Iwasawa, Masamune
Pubblicazione: (2025)

Consistency of Nonparametric Density Estimators in CAT(0) Orthant Space
di: Takazawa, Yuki, et al.
Pubblicazione: (2025)