Cover Image

Identifiability and Inference for Generalized Latent Factor Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cui, Chengyu, Xu, Gongjun
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates
by: Ouyang, Jing, et al.
Published: (2026)

Statistical Inference for Covariate-Adjusted and Interpretable Generalized Factor Model with Application to Testing Fairness
by: Ouyang, Jing, et al.
Published: (2024)

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

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

Variational Estimation for Multidimensional Generalized Partial Credit Model
by: Cui, Chengyu, et al.
Published: (2024)

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

Beyond Vintage Rotation: Bias-Free Sparse Representation Learning with Oracle Inference
by: Cui, Chengyu, et al.
Published: (2026)

Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis
by: Cui, Chengyu, et al.
Published: (2023)

The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model
by: Gu, Yuqi, et al.
Published: (2017)

Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
by: Ma, Chenchen, et al.
Published: (2021)

A General Latent Embedding Approach for Modeling Non-uniform High-dimensional Sparse Hypergraphs with Multiplicity
by: Wu, Shihao, et al.
Published: (2024)

Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses
by: Lin, Mengqi, et al.
Published: (2023)

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

A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses
by: Zeng, Zhenghao, et al.
Published: (2021)

High-dimensional Factor Analysis for Network-linked Data
by: Li, Jinming, et al.
Published: (2024)

Efficient Synthetic Network Generation via Latent Embedding Reconstruction
by: Jiang, Feifan, et al.
Published: (2026)

DIF Statistical Inference without Knowing Anchoring Items
by: Chen, Yunxiao, et al.
Published: (2021)

Denoising Diffused Embeddings: a Generative Approach for Hypergraphs
by: Wu, Shihao, et al.
Published: (2025)

Causal Inference for Latent Outcomes Learned with Factor Models
by: Landy, Jenna M., et al.
Published: (2025)

Recurrent Event Analysis with Ordinary Differential Equations
by: Meng, Bo, et al.
Published: (2025)

Accounting for Measurement Bias: A New Framework for Reliable Country Ranking in Large-Scale Educational Assessments
by: Ouyang, Jing, et al.
Published: (2025)

A Note on Improving Variational Estimation for Multidimensional Item Response Theory
by: Ma, Chenchen, et al.
Published: (2023)

Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024)

A Latent Factor Panel Approach to Spatiotemporal Causal Inference
by: Wu, Jiaxi, et al.
Published: (2025)

Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
by: Ma, Chenchen, et al.
Published: (2020)

Theoretical Analysis of Engression and Reverse Markov Engression
by: Huang, Jiaqi, et al.
Published: (2026)

Bayesian Propensity Score-Augmented Latent Factor Models for Causal Inference with Time-Series Cross-Sectional Data
by: Liu, Licheng
Published: (2026)

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

Variational Inference for the Latent Shrinkage Position Model
by: Gwee, Xian Yao, et al.
Published: (2023)

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

Hyperbolic Latent Space Models for Network Embedding: Model Specification and Bayesian Inference
by: Gong, Yiwei, et al.
Published: (2026)

Coalescent Inference for Epidemics with Latent Periods
by: Goldstein, Isaac H., et al.
Published: (2025)

Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation
by: Cui, Chengyu, et al.
Published: (2026)

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

Prediction Inference Using Generalized Functional Mixed Effects Models
by: Zhou, Xinkai, et al.
Published: (2025)

Quantile Mediation Analytics
by: Chen, Canyi, et al.
Published: (2024)

Statistical Inference for High-dimensional Matrix-variate Factor Models with Missing Observations
by: Zhang, Yongxia, et al.
Published: (2025)

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

A Latent Factor Model for High-Dimensional Binary Data
by: Shi, Jiaxin, et al.
Published: (2024)

Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection
by: Duan, Leo L, et al.
Published: (2026)