Imagen de Portada

RAPSEM: Identifying Latent Mediators Without Sequential Ignorability via a Rank-Preserving Structural Equation Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Morelli, Sofia, Faleh, Roberto, Brandt, Holger
Formato:	Preprint
Publicado:	2025
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Dynamic Latent Class Structural Equation Modeling: A Hands-On Tutorial for Modeling Intensive Longitudinal Data
por: Faleh, Roberto, et al.
Publicado: (2025)

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
por: Nanavati, Praharsh, et al.
Publicado: (2025)

On Ignorability of Preferential Sampling in Geostatistics
por: Lu, Changqing, et al.
Publicado: (2025)

On an EM-based closed-form solution for 2 parameter IRT models
por: Noventa, Stefano, et al.
Publicado: (2024)

Beyond Means: Topological Causal Effects under Persistent-Homology Ignorability
por: Saki, Amir, et al.
Publicado: (2026)

Intra-Class Correlation Coefficient Ignorable Clustered Randomized Trials for Detecting Treatment Effect Heterogeneity
por: Yang, Chen, et al.
Publicado: (2025)

Copula Structural Equation Models for Mediation Pathway Analysis
por: Chen, Canyi, et al.
Publicado: (2025)

Network Structural Equation Models for Causal Mediation and Spillover Effects
por: Kundu, Ritoban, et al.
Publicado: (2024)

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

Examination of Nonlinear Longitudinal Processes with Latent Variables, Latent Processes, Latent Changes, and Latent Classes in the Structural Equation Modeling Framework: The R package nlpsem
por: Liu, Jin
Publicado: (2023)

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

A Relative Ignorability Framework for Decision-Relevant Observability in Control Theory and Reinforcement Learning
por: Bleile, MaryLena, et al.
Publicado: (2025)

A Rank-Based Sequential Test of Independence
por: Henzi, Alexander, et al.
Publicado: (2023)

Towards Identifiable Latent Additive Noise Models
por: Liu, Yuhang, et al.
Publicado: (2024)

Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
por: Goh, Yong Chen, et al.
Publicado: (2024)

Individualized Dynamic Mediation Analysis Using Latent Factor Models
por: Zhang, Yijiao, et al.
Publicado: (2024)

Robust Semiparametric Graphical Models with Skew-Elliptical Distributions
por: Di Luzio, Gabriele, et al.
Publicado: (2025)

Identifiable Deep Latent Variable Models for MNAR Data
por: Xie, Huiming, et al.
Publicado: (2026)

Without Pain -- Clustering Categorical Data Using a Bayesian Mixture of Finite Mixtures of Latent Class Analysis Models
por: Malsiner-Walli, Gertraud, et al.
Publicado: (2024)

Anchored Variational Inference for Personalized Sequential Latent-State Models
por: Guo, Xingche
Publicado: (2026)

Social Network Mediation Analysis: a Latent Space Approach
por: Liu, Haiyan, et al.
Publicado: (2018)

Social Interactions Models with Latent Structures
por: Lin, Zhongjian, et al.
Publicado: (2026)

Sequential Transport for Causal Mediation Analysis
por: Machado, Agathe Fernandes, et al.
Publicado: (2026)

Sequential Confirmatory Factor Analysis: A Novel Approach to Latent Variable Measurement
por: Johnson, Zachary Esses
Publicado: (2025)

Multi-relational Network Autoregression Model with Latent Group Structures
por: Ren, Yimeng, et al.
Publicado: (2024)

Variational Bayes for Mixture of Gaussian Structural Equation Models
por: Dang, Khue-Dung, et al.
Publicado: (2024)

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

A Restricted Latent Class Hidden Markov Model for Polytomous Responses, Polytomous Attributes, and Covariates: Identifiability and Application
por: Wayman, Eric Alan, et al.
Publicado: (2025)

A Tutorial on Symbolic Structural Identifiability Analysis of ODE Models in Julia
por: Alsammani, Abdallah
Publicado: (2026)

Efficient Bayesian Estimation of Dynamic Structural Equation Models via State Space Marginalization
por: Sørensen, Øystein
Publicado: (2026)

Bias-Reduced Estimation of Structural Equation Models
por: Jamil, Haziq, et al.
Publicado: (2025)

Robust Sequential Hypothesis Testing with Generalized Estimating Equations for Incomplete Clustered and Longitudinal Data
por: Provost, Nathan T., et al.
Publicado: (2026)

Subgroup Identification with Latent Factor Structure
por: He, Yong, et al.
Publicado: (2024)

A Bayesian Dynamic Latent Space Model for Weighted Networks
por: Casarin, Roberto, et al.
Publicado: (2026)

Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
por: Li, Ting, et al.
Publicado: (2026)

Conditional Rank-Rank Regression via Deep Conditional Transformation Models
por: Wang, Xiaoyi, et al.
Publicado: (2026)

Forecasting intra-individual changes of affective states taking into account inter-individual differences using intensive longitudinal data from a university student drop out study in math
por: Kelava, Augustin, et al.
Publicado: (2021)

Specifying Composites in Structural Equation Modeling: Traditional, Recent and New Approaches
por: Henseler, Jörg, et al.
Publicado: (2025)

Identifying Peer Influence in Therapeutic Communities Adjusting for Latent Homophily
por: Nath, Shanjukta, et al.
Publicado: (2022)

Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers
por: Lee, Seunghyun, et al.
Publicado: (2025)