Saved in:
| Main Authors: | Ying, Naiwen, Zhang, Ping, Luo, Shanshan, Miao, Wang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.14173 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Identifying the desert decision rule to assess and achieve fairness
by: Zhang, Ping, et al.
Published: (2026)
by: Zhang, Ping, et al.
Published: (2026)
Correcting nonignorable nonresponse bias in turnout estimation using callback data
by: Li, Xinyu, et al.
Published: (2025)
by: Li, Xinyu, et al.
Published: (2025)
The generalized Hausman test for detecting non-normality in the latent variable distribution of the two-parameter IRT model
by: Guastadisegni, Lucia, et al.
Published: (2024)
by: Guastadisegni, Lucia, et al.
Published: (2024)
Distributed Conditional Feature Screening via Pearson Partial Correlation with FDR Control
by: Pang, Naiwen, et al.
Published: (2024)
by: Pang, Naiwen, et al.
Published: (2024)
A general joint latent class model of longitudinal and survival data with the covariance modelling
by: Miao, Ruoyu, et al.
Published: (2025)
by: Miao, Ruoyu, et al.
Published: (2025)
Treatment response as a latent variable
by: Tosh, Christopher, et al.
Published: (2025)
by: Tosh, Christopher, et al.
Published: (2025)
JEL ratio test for independence between a continuous and a categorical random variable
by: Suresh, Saparya, et al.
Published: (2024)
by: Suresh, Saparya, et al.
Published: (2024)
On testing for independence between generalized error models of several time series
by: Ghoudi, Kilani, et al.
Published: (2024)
by: Ghoudi, Kilani, et al.
Published: (2024)
Uncertainty calibration for latent-variable regression models
by: Duma, Zina-Sabrina, et al.
Published: (2025)
by: Duma, Zina-Sabrina, et al.
Published: (2025)
Identification and estimation of causal peer effects using instrumental variables
by: Luo, Shanshan, et al.
Published: (2025)
by: Luo, Shanshan, et al.
Published: (2025)
Functional structural equation modeling with latent variables
by: Asgari, Fatemeh, et al.
Published: (2024)
by: Asgari, Fatemeh, et al.
Published: (2024)
Opaque prior distributions in Bayesian latent variable models
by: Merkle, Edgar C., et al.
Published: (2023)
by: Merkle, Edgar C., et al.
Published: (2023)
Estimating the variance-covariance matrix of two-step estimates of latent variable models: A general simulation-based approach
by: Di Mari, Roberto, et al.
Published: (2025)
by: Di Mari, Roberto, et al.
Published: (2025)
A latent variable model for identifying and characterizing food adulteration
by: Casa, Alessandro, et al.
Published: (2025)
by: Casa, Alessandro, et al.
Published: (2025)
DGP-LVM: Derivative Gaussian process latent variable models
by: Mukherjee, Soham, et al.
Published: (2024)
by: Mukherjee, Soham, et al.
Published: (2024)
A flexible class of latent variable models for the analysis of antibody response data
by: Giorgi, Emanuele, et al.
Published: (2025)
by: Giorgi, Emanuele, et al.
Published: (2025)
On independence testing using the (partial) distance correlation
by: Nikolaos, Kontemeniotis, et al.
Published: (2025)
by: Nikolaos, Kontemeniotis, et al.
Published: (2025)
Optimal e-variables under constraints
by: Saha, Aytijhya, et al.
Published: (2026)
by: Saha, Aytijhya, et al.
Published: (2026)
A mirror descent approach to maximum likelihood estimation in latent variable models
by: Crucinio, Francesca R.
Published: (2025)
by: Crucinio, Francesca R.
Published: (2025)
Hilbert space methods for approximating multi-output latent variable Gaussian processes
by: Mukherjee, Soham, et al.
Published: (2025)
by: Mukherjee, Soham, et al.
Published: (2025)
Causal attribution with confidence
by: Zhang, Ping, et al.
Published: (2025)
by: Zhang, Ping, et al.
Published: (2025)
The co-varying ties between networks and item responses via latent variables
by: Wang, Selena, et al.
Published: (2024)
by: Wang, Selena, et al.
Published: (2024)
A regression-based approach for bidirectional proximal causal inference in the presence of unmeasured confounding
by: Min, Jiaqi, et al.
Published: (2025)
by: Min, Jiaqi, et al.
Published: (2025)
Testing independence and conditional independence in high dimensions via coordinatewise Gaussianization
by: Chang, Jinyuan, et al.
Published: (2025)
by: Chang, Jinyuan, et al.
Published: (2025)
Testing conditional independence under isotonicity
by: Hore, Rohan, et al.
Published: (2025)
by: Hore, Rohan, et al.
Published: (2025)
A general condition for bias attenuation by a nondifferentially mismeasured confounder
by: Zhang, Jeffrey, et al.
Published: (2024)
by: Zhang, Jeffrey, et al.
Published: (2024)
A general framework for formulating structured variable selection
by: Wang, Guanbo, et al.
Published: (2021)
by: Wang, Guanbo, et al.
Published: (2021)
Misspecifications in structural equation modeling: The choice of latent variables, causal-formative constructs or composites
by: Bauer, Jonas, et al.
Published: (2025)
by: Bauer, Jonas, et al.
Published: (2025)
Reducing multivariate independence testing to two bivariate means comparisons
by: Xu, Kai, et al.
Published: (2024)
by: Xu, Kai, et al.
Published: (2024)
Exploiting independence constraints for efficient estimation of bounds on causal effects in the presence of unmeasured confounding
by: Chang, Ting-Hsuan, et al.
Published: (2026)
by: Chang, Ting-Hsuan, et al.
Published: (2026)
A stableness of resistance model for nonresponse adjustment with callback data
by: Miao, Wang, et al.
Published: (2021)
by: Miao, Wang, et al.
Published: (2021)
A brief introduction on latent variable based ordinal regression models with an application to survey data
by: Wieditz, Johannes, et al.
Published: (2023)
by: Wieditz, Johannes, et al.
Published: (2023)
Effects conditional on post-treatment events generated by independent mechanisms
by: Piccininni, Marco, et al.
Published: (2026)
by: Piccininni, Marco, et al.
Published: (2026)
surveygenmod2: A SAS macro for estimating complex survey adjusted generalized linear models and Wald-type tests
by: Padgett, R. Noah, et al.
Published: (2024)
by: Padgett, R. Noah, et al.
Published: (2024)
Extremal graphical modeling with latent variables via convex optimization
by: Engelke, Sebastian, et al.
Published: (2024)
by: Engelke, Sebastian, et al.
Published: (2024)
Automating the Selection of Proxy Variables of Unmeasured Confounders
by: Xie, Feng, et al.
Published: (2024)
by: Xie, Feng, et al.
Published: (2024)
Sensitivity analysis method in the presence of a missing not at random ordinal independent variable
by: Dioni, Abdoulaye, et al.
Published: (2025)
by: Dioni, Abdoulaye, et al.
Published: (2025)
High-dimensional low-rank matrix regression with unknown latent structures
by: Wang, Di, et al.
Published: (2025)
by: Wang, Di, et al.
Published: (2025)
Hypothesis testing for general network models
by: Fu, Kang, et al.
Published: (2024)
by: Fu, Kang, et al.
Published: (2024)
Ratio of two independent xgamma random variables and some distributional properties
by: Sen, Subhradev, et al.
Published: (2024)
by: Sen, Subhradev, et al.
Published: (2024)
Similar Items
-
Identifying the desert decision rule to assess and achieve fairness
by: Zhang, Ping, et al.
Published: (2026) -
Correcting nonignorable nonresponse bias in turnout estimation using callback data
by: Li, Xinyu, et al.
Published: (2025) -
The generalized Hausman test for detecting non-normality in the latent variable distribution of the two-parameter IRT model
by: Guastadisegni, Lucia, et al.
Published: (2024) -
Distributed Conditional Feature Screening via Pearson Partial Correlation with FDR Control
by: Pang, Naiwen, et al.
Published: (2024) -
A general joint latent class model of longitudinal and survival data with the covariance modelling
by: Miao, Ruoyu, et al.
Published: (2025)