Saved in:
| Main Author: | Liu, Jin |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2107.01773 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Jenss-Bayley Latent Change Score Model with Individual Ratio of Growth Acceleration in the Framework of Individual Measurement Occasions
by: Liu, Jin
Published: (2021)
by: Liu, Jin
Published: (2021)
Estimating Rate of Change for Nonlinear Trajectories in the Framework of Individual Measurement Occasions: A New Perspective on Growth Curves
by: Liu, Jin, et al.
Published: (2022)
by: Liu, Jin, et al.
Published: (2022)
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
by: Liu, Jin
Published: (2023)
by: Liu, Jin
Published: (2023)
Rethinking Individual Risk and Aggregation in Survival Analysis: A Latent Mechanism Framework
by: Liu, Xijia
Published: (2026)
by: Liu, Xijia
Published: (2026)
Modeling Covariate Feedback, Reversal, and Latent Traits in Longitudinal Data: A Joint Hierarchical Framework
by: Ramezani, Niloofar, et al.
Published: (2026)
by: Ramezani, Niloofar, et al.
Published: (2026)
Individualized Dynamic Mediation Analysis Using Latent Factor Models
by: Zhang, Yijiao, et al.
Published: (2024)
by: Zhang, Yijiao, et al.
Published: (2024)
Fully Latent Principal Stratification With Measurement Models
by: Lee, Sooyong, et al.
Published: (2023)
by: Lee, Sooyong, et al.
Published: (2023)
Covariate Selection for Joint Latent Space Modeling of Sparse Network Data
by: Crenshaw, Emma G, et al.
Published: (2026)
by: Crenshaw, Emma G, et al.
Published: (2026)
Adaptive Bayesian Joint Latent Space Modeling via Cumulative Shrinkage
by: Lv, Bin, et al.
Published: (2025)
by: Lv, Bin, et al.
Published: (2025)
Further Exploration of the Effects of Time-varying Covariate in Growth Mixture Models with Nonlinear Trajectories
by: Liu, Jin
Published: (2023)
by: Liu, Jin
Published: (2023)
Extending a Matrix Lie Group Model of Measurement Symmetries
by: Nugent, William R.
Published: (2025)
by: Nugent, William R.
Published: (2025)
New Approaches to the Measurement of Public Library Use by Individual Patrons. Occasional Paper Number 162.
by: Clark, Philip M.
Published: (1983)
by: Clark, Philip M.
Published: (1983)
Functional Mixed effects Model for Joint Analysis of Longitudinal and Cross-Sectional Growth Data
by: Chen, Long, et al.
Published: (2025)
by: Chen, Long, et al.
Published: (2025)
Learning Joint and Individual Structure in Network Data with Covariates
by: James, Carson, et al.
Published: (2024)
by: James, Carson, et al.
Published: (2024)
Robust Joint Modeling for Data with Continuous and Binary Responses
by: Wang, Yu, et al.
Published: (2026)
by: Wang, Yu, et al.
Published: (2026)
From Stochasticity to Signal: A Bayesian Latent State Model for Reliable Measurement with LLMs
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
A Scalable Variational Bayes Approach for Fitting Non-Conjugate Spatial Generalized Linear Mixed Models via Basis Expansions
by: Lee, Jin Hyung, et al.
Published: (2025)
by: Lee, Jin Hyung, et al.
Published: (2025)
Backward Joint Model for the Joint Dynamic Prediction of Time-to-Event and Longitudinal Data: Basic Formulation and New Developments
by: Li, Wenhao, et al.
Published: (2023)
by: Li, Wenhao, et al.
Published: (2023)
Social Network Mediation Analysis: a Latent Space Approach
by: Liu, Haiyan, et al.
Published: (2018)
by: Liu, Haiyan, et al.
Published: (2018)
Flexible Basis Representations for Modeling Large Non-Gaussian Spatial Data
by: MacDonald, Remy, et al.
Published: (2022)
by: MacDonald, Remy, et al.
Published: (2022)
A General Framework for Joint Multi-State Models
by: Laplante, Félix, et al.
Published: (2025)
by: Laplante, Félix, et al.
Published: (2025)
A Hybrid Latent-Class Item Response Model for Detecting Measurement Non-Invariance in Ordinal Scales
by: Wallin, Gabriel, et al.
Published: (2026)
by: Wallin, Gabriel, et al.
Published: (2026)
Covariance Regression based on Basis Expansion
by: Bak, Kwan-Young, et al.
Published: (2025)
by: Bak, Kwan-Young, et al.
Published: (2025)
Modeling Large Nonstationary Spatial Data with the Full-Scale Basis Graphical Lasso
by: LeDuc, Matthew, et al.
Published: (2025)
by: LeDuc, Matthew, et al.
Published: (2025)
Reconciling Latent Variables and Networks: Exploring and extending the Psychometric-Toolbox
by: Kistermann, Kevin, et al.
Published: (2026)
by: Kistermann, Kevin, et al.
Published: (2026)
Multilevel Regression Discontinuity Models with Latent Variables
by: Morell, Monica, et al.
Published: (2026)
by: Morell, Monica, et al.
Published: (2026)
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
by: Zhang, Siliang, et al.
Published: (2020)
by: Zhang, Siliang, et al.
Published: (2020)
Penalty-Induced Basis Exploration for Bayesian Splines
by: Lim, Sunwoo, et al.
Published: (2023)
by: Lim, Sunwoo, et al.
Published: (2023)
Sequential Confirmatory Factor Analysis: A Novel Approach to Latent Variable Measurement
by: Johnson, Zachary Esses
Published: (2025)
by: Johnson, Zachary Esses
Published: (2025)
Estimation and Statistical Inference for Generalized Multilayer Latent Space Model
by: Liu, Zhaozhe, et al.
Published: (2026)
by: Liu, Zhaozhe, et al.
Published: (2026)
The Target Study: A Conceptual Model and Framework for Measuring Disparity
by: Jackson, John W., et al.
Published: (2022)
by: Jackson, John W., et al.
Published: (2022)
Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection
by: Duan, Leo L, et al.
Published: (2026)
by: Duan, Leo L, et al.
Published: (2026)
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
by: Zhang, Zhiyue, et al.
Published: (2024)
by: Zhang, Zhiyue, et al.
Published: (2024)
The Deep Latent Position Block Model For The Block Clustering And Latent Representation Of Networks
by: Boutin, Rémi, et al.
Published: (2024)
by: Boutin, Rémi, et al.
Published: (2024)
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
by: Cai, Hengrui, et al.
Published: (2024)
by: Cai, Hengrui, et al.
Published: (2024)
Bayesian Causal Discovery with Cycles and Latent Confounders
by: Jin, Wei, et al.
Published: (2025)
by: Jin, Wei, et al.
Published: (2025)
Identifiability of Latent Class Models with Covariates
by: Ouyang, Jing, et al.
Published: (2021)
by: Ouyang, Jing, et al.
Published: (2021)
A Bayesian Framework for Latent Compliance Modeling in Cluster Randomized Trials with One-Sided Noncompliance
by: Sisti, Anthony, et al.
Published: (2025)
by: Sisti, Anthony, et al.
Published: (2025)
Quantifying Individual Risk for Binary Outcomes
by: Wu, Peng, et al.
Published: (2024)
by: Wu, Peng, et al.
Published: (2024)
Learning Joint Graphical Model with Computational Efficiency, Dynamic Regularization, and Adaptation
by: Liu, Shixiang, et al.
Published: (2025)
by: Liu, Shixiang, et al.
Published: (2025)
Similar Items
-
Jenss-Bayley Latent Change Score Model with Individual Ratio of Growth Acceleration in the Framework of Individual Measurement Occasions
by: Liu, Jin
Published: (2021) -
Estimating Rate of Change for Nonlinear Trajectories in the Framework of Individual Measurement Occasions: A New Perspective on Growth Curves
by: Liu, Jin, et al.
Published: (2022) -
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
by: Liu, Jin
Published: (2023) -
Rethinking Individual Risk and Aggregation in Survival Analysis: A Latent Mechanism Framework
by: Liu, Xijia
Published: (2026) -
Modeling Covariate Feedback, Reversal, and Latent Traits in Longitudinal Data: A Joint Hierarchical Framework
by: Ramezani, Niloofar, et al.
Published: (2026)