Enregistré dans:
| Auteur principal: | Liu, Jin |
|---|---|
| Format: | Preprint |
| Publié: |
2021
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2107.01773 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Jenss-Bayley Latent Change Score Model with Individual Ratio of Growth Acceleration in the Framework of Individual Measurement Occasions
par: Liu, Jin
Publié: (2021)
par: Liu, Jin
Publié: (2021)
Estimating Rate of Change for Nonlinear Trajectories in the Framework of Individual Measurement Occasions: A New Perspective on Growth Curves
par: Liu, Jin, et autres
Publié: (2022)
par: Liu, Jin, et autres
Publié: (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
par: Liu, Jin
Publié: (2023)
par: Liu, Jin
Publié: (2023)
Rethinking Individual Risk and Aggregation in Survival Analysis: A Latent Mechanism Framework
par: Liu, Xijia
Publié: (2026)
par: Liu, Xijia
Publié: (2026)
Modeling Covariate Feedback, Reversal, and Latent Traits in Longitudinal Data: A Joint Hierarchical Framework
par: Ramezani, Niloofar, et autres
Publié: (2026)
par: Ramezani, Niloofar, et autres
Publié: (2026)
Individualized Dynamic Mediation Analysis Using Latent Factor Models
par: Zhang, Yijiao, et autres
Publié: (2024)
par: Zhang, Yijiao, et autres
Publié: (2024)
Fully Latent Principal Stratification With Measurement Models
par: Lee, Sooyong, et autres
Publié: (2023)
par: Lee, Sooyong, et autres
Publié: (2023)
Covariate Selection for Joint Latent Space Modeling of Sparse Network Data
par: Crenshaw, Emma G, et autres
Publié: (2026)
par: Crenshaw, Emma G, et autres
Publié: (2026)
Adaptive Bayesian Joint Latent Space Modeling via Cumulative Shrinkage
par: Lv, Bin, et autres
Publié: (2025)
par: Lv, Bin, et autres
Publié: (2025)
Further Exploration of the Effects of Time-varying Covariate in Growth Mixture Models with Nonlinear Trajectories
par: Liu, Jin
Publié: (2023)
par: Liu, Jin
Publié: (2023)
Extending a Matrix Lie Group Model of Measurement Symmetries
par: Nugent, William R.
Publié: (2025)
par: Nugent, William R.
Publié: (2025)
New Approaches to the Measurement of Public Library Use by Individual Patrons. Occasional Paper Number 162.
par: Clark, Philip M.
Publié: (1983)
par: Clark, Philip M.
Publié: (1983)
Functional Mixed effects Model for Joint Analysis of Longitudinal and Cross-Sectional Growth Data
par: Chen, Long, et autres
Publié: (2025)
par: Chen, Long, et autres
Publié: (2025)
Learning Joint and Individual Structure in Network Data with Covariates
par: James, Carson, et autres
Publié: (2024)
par: James, Carson, et autres
Publié: (2024)
Robust Joint Modeling for Data with Continuous and Binary Responses
par: Wang, Yu, et autres
Publié: (2026)
par: Wang, Yu, et autres
Publié: (2026)
From Stochasticity to Signal: A Bayesian Latent State Model for Reliable Measurement with LLMs
par: Zhang, Yichi, et autres
Publié: (2025)
par: Zhang, Yichi, et autres
Publié: (2025)
A Scalable Variational Bayes Approach for Fitting Non-Conjugate Spatial Generalized Linear Mixed Models via Basis Expansions
par: Lee, Jin Hyung, et autres
Publié: (2025)
par: Lee, Jin Hyung, et autres
Publié: (2025)
Backward Joint Model for the Joint Dynamic Prediction of Time-to-Event and Longitudinal Data: Basic Formulation and New Developments
par: Li, Wenhao, et autres
Publié: (2023)
par: Li, Wenhao, et autres
Publié: (2023)
Social Network Mediation Analysis: a Latent Space Approach
par: Liu, Haiyan, et autres
Publié: (2018)
par: Liu, Haiyan, et autres
Publié: (2018)
Flexible Basis Representations for Modeling Large Non-Gaussian Spatial Data
par: MacDonald, Remy, et autres
Publié: (2022)
par: MacDonald, Remy, et autres
Publié: (2022)
A General Framework for Joint Multi-State Models
par: Laplante, Félix, et autres
Publié: (2025)
par: Laplante, Félix, et autres
Publié: (2025)
A Hybrid Latent-Class Item Response Model for Detecting Measurement Non-Invariance in Ordinal Scales
par: Wallin, Gabriel, et autres
Publié: (2026)
par: Wallin, Gabriel, et autres
Publié: (2026)
Covariance Regression based on Basis Expansion
par: Bak, Kwan-Young, et autres
Publié: (2025)
par: Bak, Kwan-Young, et autres
Publié: (2025)
Modeling Large Nonstationary Spatial Data with the Full-Scale Basis Graphical Lasso
par: LeDuc, Matthew, et autres
Publié: (2025)
par: LeDuc, Matthew, et autres
Publié: (2025)
Reconciling Latent Variables and Networks: Exploring and extending the Psychometric-Toolbox
par: Kistermann, Kevin, et autres
Publié: (2026)
par: Kistermann, Kevin, et autres
Publié: (2026)
Multilevel Regression Discontinuity Models with Latent Variables
par: Morell, Monica, et autres
Publié: (2026)
par: Morell, Monica, et autres
Publié: (2026)
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
par: Zhang, Siliang, et autres
Publié: (2020)
par: Zhang, Siliang, et autres
Publié: (2020)
Penalty-Induced Basis Exploration for Bayesian Splines
par: Lim, Sunwoo, et autres
Publié: (2023)
par: Lim, Sunwoo, et autres
Publié: (2023)
Sequential Confirmatory Factor Analysis: A Novel Approach to Latent Variable Measurement
par: Johnson, Zachary Esses
Publié: (2025)
par: Johnson, Zachary Esses
Publié: (2025)
Estimation and Statistical Inference for Generalized Multilayer Latent Space Model
par: Liu, Zhaozhe, et autres
Publié: (2026)
par: Liu, Zhaozhe, et autres
Publié: (2026)
The Target Study: A Conceptual Model and Framework for Measuring Disparity
par: Jackson, John W., et autres
Publié: (2022)
par: Jackson, John W., et autres
Publié: (2022)
Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection
par: Duan, Leo L, et autres
Publié: (2026)
par: Duan, Leo L, et autres
Publié: (2026)
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
par: Zhang, Zhiyue, et autres
Publié: (2024)
par: Zhang, Zhiyue, et autres
Publié: (2024)
The Deep Latent Position Block Model For The Block Clustering And Latent Representation Of Networks
par: Boutin, Rémi, et autres
Publié: (2024)
par: Boutin, Rémi, et autres
Publié: (2024)
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
par: Cai, Hengrui, et autres
Publié: (2024)
par: Cai, Hengrui, et autres
Publié: (2024)
Bayesian Causal Discovery with Cycles and Latent Confounders
par: Jin, Wei, et autres
Publié: (2025)
par: Jin, Wei, et autres
Publié: (2025)
Identifiability of Latent Class Models with Covariates
par: Ouyang, Jing, et autres
Publié: (2021)
par: Ouyang, Jing, et autres
Publié: (2021)
A Bayesian Framework for Latent Compliance Modeling in Cluster Randomized Trials with One-Sided Noncompliance
par: Sisti, Anthony, et autres
Publié: (2025)
par: Sisti, Anthony, et autres
Publié: (2025)
Quantifying Individual Risk for Binary Outcomes
par: Wu, Peng, et autres
Publié: (2024)
par: Wu, Peng, et autres
Publié: (2024)
Learning Joint Graphical Model with Computational Efficiency, Dynamic Regularization, and Adaptation
par: Liu, Shixiang, et autres
Publié: (2025)
par: Liu, Shixiang, et autres
Publié: (2025)
Documents similaires
-
Jenss-Bayley Latent Change Score Model with Individual Ratio of Growth Acceleration in the Framework of Individual Measurement Occasions
par: Liu, Jin
Publié: (2021) -
Estimating Rate of Change for Nonlinear Trajectories in the Framework of Individual Measurement Occasions: A New Perspective on Growth Curves
par: Liu, Jin, et autres
Publié: (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
par: Liu, Jin
Publié: (2023) -
Rethinking Individual Risk and Aggregation in Survival Analysis: A Latent Mechanism Framework
par: Liu, Xijia
Publié: (2026) -
Modeling Covariate Feedback, Reversal, and Latent Traits in Longitudinal Data: A Joint Hierarchical Framework
par: Ramezani, Niloofar, et autres
Publié: (2026)