Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Fisher, Zachary F., Kim, Younghoon, Fredrickson, Barbara, Pipiras, Vladas |
|---|---|
| Formato: | Preprint |
| Publicado: |
2020
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Joint modeling and inference of multiple-subject high-dimensional sparse vector autoregressive models
por: Kim, Younghoon, et al.
Publicado: (2025)
por: Kim, Younghoon, et al.
Publicado: (2025)
Group integrative dynamic factor models with application to multiple subject brain connectivity
por: Kim, Younghoon, et al.
Publicado: (2023)
por: Kim, Younghoon, et al.
Publicado: (2023)
Latent Gaussian dynamic factor modeling and forecasting for multivariate count time series
por: Kim, Younghoon, et al.
Publicado: (2023)
por: Kim, Younghoon, et al.
Publicado: (2023)
Group Integrative Dynamic Factor Models With Application to Multiple Subject Brain Connectivity
por: Younghoon Kim, et al.
Publicado: (2024)
por: Younghoon Kim, et al.
Publicado: (2024)
Penalized Subgrouping of Heterogeneous Time Series
por: Crawford, Christopher M., et al.
Publicado: (2024)
por: Crawford, Christopher M., et al.
Publicado: (2024)
Parametric multi-fidelity Monte Carlo estimation with applications to extremes
por: Kim, Minji, et al.
Publicado: (2024)
por: Kim, Minji, et al.
Publicado: (2024)
Latent Gaussian Dynamic Factor Modeling and Forecasting for Multivariate Count Time Series
por: Younghoon Kim, et al.
Publicado: (2025)
por: Younghoon Kim, et al.
Publicado: (2025)
Testing common structure in high-dimensional factor models: change-point and two-sample procedures
por: Düker, Marie-Christine, et al.
Publicado: (2024)
por: Düker, Marie-Christine, et al.
Publicado: (2024)
Sampling low-fidelity outputs for estimation of high-fidelity density and its tails
por: Kim, Minji, et al.
Publicado: (2024)
por: Kim, Minji, et al.
Publicado: (2024)
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
por: Manna, Alokesh, et al.
Publicado: (2024)
por: Manna, Alokesh, et al.
Publicado: (2024)
Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
por: Yin, Xiaohui, et al.
Publicado: (2026)
por: Yin, Xiaohui, et al.
Publicado: (2026)
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
por: Fisher, Aaron
Publicado: (2023)
por: Fisher, Aaron
Publicado: (2023)
Penalized Generative Variable Selection
por: Wang, Tong, et al.
Publicado: (2024)
por: Wang, Tong, et al.
Publicado: (2024)
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
por: Kim, Sanghee, et al.
Publicado: (2025)
por: Kim, Sanghee, et al.
Publicado: (2025)
Local Causal Discovery for Estimating Causal Effects
por: Gupta, Shantanu, et al.
Publicado: (2023)
por: Gupta, Shantanu, et al.
Publicado: (2023)
MMM: Clustering Multivariate Longitudinal Mixed-type Data
por: Amato, Francesco, et al.
Publicado: (2025)
por: Amato, Francesco, et al.
Publicado: (2025)
Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
por: Nakamoto, Carter H., et al.
Publicado: (2025)
por: Nakamoto, Carter H., et al.
Publicado: (2025)
On Quantile Regression Forests for Modelling Mixed-Frequency and Longitudinal Data
por: Andreani, Mila
Publicado: (2025)
por: Andreani, Mila
Publicado: (2025)
Discrete-time Competing-Risks Regression with or without Penalization
por: Meir, Tomer, et al.
Publicado: (2023)
por: Meir, Tomer, et al.
Publicado: (2023)
Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
por: Wilkins-Reeves, Steven, et al.
Publicado: (2024)
por: Wilkins-Reeves, Steven, et al.
Publicado: (2024)
Low-Complexity and Consistent Graphon Estimation from Multiple Networks
por: Sogan, Roland Boniface, et al.
Publicado: (2026)
por: Sogan, Roland Boniface, et al.
Publicado: (2026)
Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
por: Zhang, Xinyu, et al.
Publicado: (2026)
por: Zhang, Xinyu, et al.
Publicado: (2026)
Tree-Based Predictive Models for Noisy Input Data
por: McCoy, Kevin, et al.
Publicado: (2026)
por: McCoy, Kevin, et al.
Publicado: (2026)
Identification and Estimation under Multiple Versions of Treatment: Mixture-of-Experts Approach
por: Yoshikawa, Kohei, et al.
Publicado: (2026)
por: Yoshikawa, Kohei, et al.
Publicado: (2026)
Better Locally Private Sparse Estimation Given Multiple Samples Per User
por: Ma, Yuheng, et al.
Publicado: (2024)
por: Ma, Yuheng, et al.
Publicado: (2024)
Unified Conformalized Multiple Testing with Full Data Efficiency
por: Huo, Yuyang, et al.
Publicado: (2025)
por: Huo, Yuyang, et al.
Publicado: (2025)
Weighted Sum-of-Trees Model for Clustered Data
por: McCoy, Kevin, et al.
Publicado: (2026)
por: McCoy, Kevin, et al.
Publicado: (2026)
Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
por: Lee, Byunghee, et al.
Publicado: (2025)
por: Lee, Byunghee, et al.
Publicado: (2025)
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
por: Walchessen, Julia, et al.
Publicado: (2023)
por: Walchessen, Julia, et al.
Publicado: (2023)
Data Fusion for High-Resolution Estimation
por: Guan, Amy, et al.
Publicado: (2025)
por: Guan, Amy, et al.
Publicado: (2025)
Neural Parameter Estimation with Incomplete Data
por: Sainsbury-Dale, Matthew, et al.
Publicado: (2025)
por: Sainsbury-Dale, Matthew, et al.
Publicado: (2025)
Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
por: Lee, Byeonghee, et al.
Publicado: (2025)
por: Lee, Byeonghee, et al.
Publicado: (2025)
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects
por: Nanmo, Hisayoshi, et al.
Publicado: (2024)
por: Nanmo, Hisayoshi, et al.
Publicado: (2024)
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
por: Nguyen, Drew T., et al.
Publicado: (2024)
por: Nguyen, Drew T., et al.
Publicado: (2024)
Efficient Covariance Estimation for Sparsified Functional Data
por: Zheng, Sijie, et al.
Publicado: (2025)
por: Zheng, Sijie, et al.
Publicado: (2025)
PCS Workflow for Veridical Data Science in the Age of AI
por: Rewolinski, Zachary T., et al.
Publicado: (2025)
por: Rewolinski, Zachary T., et al.
Publicado: (2025)
Efficient Generative Modeling via Penalized Optimal Transport Network
por: Lu, Wenhui Sophia, et al.
Publicado: (2024)
por: Lu, Wenhui Sophia, et al.
Publicado: (2024)
Domain Generalization and Adaptation in Intensive Care with Anchor Regression
por: Londschien, Malte, et al.
Publicado: (2025)
por: Londschien, Malte, et al.
Publicado: (2025)
Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches
por: Tang, Dandan, et al.
Publicado: (2024)
por: Tang, Dandan, et al.
Publicado: (2024)
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
por: Liu, Siyan, et al.
Publicado: (2024)
por: Liu, Siyan, et al.
Publicado: (2024)
Ejemplares similares
-
Joint modeling and inference of multiple-subject high-dimensional sparse vector autoregressive models
por: Kim, Younghoon, et al.
Publicado: (2025) -
Group integrative dynamic factor models with application to multiple subject brain connectivity
por: Kim, Younghoon, et al.
Publicado: (2023) -
Latent Gaussian dynamic factor modeling and forecasting for multivariate count time series
por: Kim, Younghoon, et al.
Publicado: (2023) -
Group Integrative Dynamic Factor Models With Application to Multiple Subject Brain Connectivity
por: Younghoon Kim, et al.
Publicado: (2024) -
Penalized Subgrouping of Heterogeneous Time Series
por: Crawford, Christopher M., et al.
Publicado: (2024)