Saved in:
| Main Authors: | Ma, Yue, Wang, Haofeng, Jiang, Xuejun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.01021 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Penalized weighted GEEs for high-dimensional longitudinal data with informative cluter size
by: Ma, Yue, et al.
Published: (2025)
by: Ma, Yue, et al.
Published: (2025)
Decorrelated forward regression for high dimensional data analysis
by: Jiang, Xuejun, et al.
Published: (2024)
by: Jiang, Xuejun, et al.
Published: (2024)
Adaptive Penalized Doubly Robust Regression for Longitudinal Data
by: Wang, Yuyao, et al.
Published: (2026)
by: Wang, Yuyao, et al.
Published: (2026)
Cross-Semantic Transfer Learning for High-Dimensional Linear Regression
by: Jiang, Jiancheng, et al.
Published: (2025)
by: Jiang, Jiancheng, et al.
Published: (2025)
A Primal Dual Active Set with Continuation Algorithm for $\ell_0$-Penalized High-dimensional Accelerated Failure Time Model
by: Li, Peili, et al.
Published: (2025)
by: Li, Peili, et al.
Published: (2025)
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
by: Fisher, Zachary F., et al.
Published: (2020)
by: Fisher, Zachary F., et al.
Published: (2020)
Penalized empirical likelihood estimation and EM algorithms for closed-population capture-recapture models
by: Liu, Yang, et al.
Published: (2022)
by: Liu, Yang, et al.
Published: (2022)
"Within-trial" prognostic score adjustment is targeted maximum likelihood estimation
by: Højbjerre-Frandsen, Emilie, et al.
Published: (2025)
by: Højbjerre-Frandsen, Emilie, et al.
Published: (2025)
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models
by: Heiling, Hillary M., et al.
Published: (2023)
by: Heiling, Hillary M., et al.
Published: (2023)
LoopPerm-CPD: A Robust Loop Permutation Framework for Automatic Multiple Change-Point Detection in Longitudinal Data
by: Sun, Xuejun, et al.
Published: (2026)
by: Sun, Xuejun, et al.
Published: (2026)
The multirank likelihood for semiparametric canonical correlation analysis
by: Bryan, Jordan G., et al.
Published: (2021)
by: Bryan, Jordan G., et al.
Published: (2021)
Accelerating sequential Monte Carlo with surrogate likelihoods
by: Bon, Joshua J, et al.
Published: (2020)
by: Bon, Joshua J, et al.
Published: (2020)
Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods
by: Quiroz, Matias, et al.
Published: (2026)
by: Quiroz, Matias, et al.
Published: (2026)
Efficient Prior Sensitivity and Tipping-point Analysis for Medical Research: Revisiting Sampling Importance Resampling
by: Ohigashi, Tomohiro, et al.
Published: (2025)
by: Ohigashi, Tomohiro, et al.
Published: (2025)
Counterfactual Q Learning via the Linear Buckley James Method for Longitudinal Survival Data
by: Lee, Jeongjin, et al.
Published: (2025)
by: Lee, Jeongjin, et al.
Published: (2025)
Efficient smoothness selection for nonparametric Markov-switching models via quasi restricted maximum likelihood
by: Koslik, Jan-Ole
Published: (2024)
by: Koslik, Jan-Ole
Published: (2024)
Composite likelihood inference for the Poisson log-normal model
by: Stoehr, Julien, et al.
Published: (2024)
by: Stoehr, Julien, et al.
Published: (2024)
Fast Penalized Generalized Estimating Equations for Large Longitudinal Functional Datasets
by: Loewinger, Gabriel, et al.
Published: (2025)
by: Loewinger, Gabriel, et al.
Published: (2025)
Frequency Domain Resampling for Gridded Spatial Data
by: Bera, Souvick, et al.
Published: (2025)
by: Bera, Souvick, et al.
Published: (2025)
Penalized KLIC Model Selection for the Generalized Method of Moments in Longitudinal Data with Time-Dependent Covariates
by: Hasan, Mahmud, et al.
Published: (2026)
by: Hasan, Mahmud, et al.
Published: (2026)
A General Method for Resampling Autocorrelated Spatial Data
by: Arthur, Rudy
Published: (2024)
by: Arthur, Rudy
Published: (2024)
Penalized Likelihood Approach for the Four-parameter Kappa Distribution
by: Papukdee, Nipada, et al.
Published: (2024)
by: Papukdee, Nipada, et al.
Published: (2024)
Efficient Computation of High-Dimensional Penalized Generalized Linear Mixed Models by Latent Factor Modeling of the Random Effects
by: Heiling, Hillary M., et al.
Published: (2023)
by: Heiling, Hillary M., et al.
Published: (2023)
Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022)
by: Frazier, David T., et al.
Published: (2022)
Longitudinal Data Clustering with a Copula Kernel Mixture Model
by: Zhang, Xi, et al.
Published: (2023)
by: Zhang, Xi, et al.
Published: (2023)
BEND: An R Package for the Bayesian Estimation of Nonlinear Longitudinal Data
by: Rohloff, Corissa T., et al.
Published: (2026)
by: Rohloff, Corissa T., et al.
Published: (2026)
Robust Power and Sample Size Calculations in Quasi-likelihood Models: Methods and Practice
by: Yuan, Shijie, et al.
Published: (2026)
by: Yuan, Shijie, et al.
Published: (2026)
Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)
by: Yang, Yumo, et al.
Published: (2025)
Marginal likelihoods for finite-support Huber contamination
by: Kim, Jaehoan
Published: (2026)
by: Kim, Jaehoan
Published: (2026)
Empirical likelihood for Fréchet means on open books
by: Bharath, Karthik, et al.
Published: (2024)
by: Bharath, Karthik, et al.
Published: (2024)
A mirror descent approach to maximum likelihood estimation in latent variable models
by: Crucinio, Francesca R.
Published: (2025)
by: Crucinio, Francesca R.
Published: (2025)
Penalized Generative Variable Selection
by: Wang, Tong, et al.
Published: (2024)
by: Wang, Tong, et al.
Published: (2024)
Scalable likelihood-based estimation and variable selection for the Cox model with incomplete covariates
by: Kwok, Ngok Sang, et al.
Published: (2024)
by: Kwok, Ngok Sang, et al.
Published: (2024)
EM Estimation of the B-Spline Copula with Penalized Pseudo-Likelihood Functions
by: Dou, Xiaoling, et al.
Published: (2024)
by: Dou, Xiaoling, et al.
Published: (2024)
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
by: Ma, Li, et al.
Published: (2024)
by: Ma, Li, et al.
Published: (2024)
Misspecification-robust likelihood-free inference in high dimensions
by: Thomas, Owen, et al.
Published: (2020)
by: Thomas, Owen, et al.
Published: (2020)
A comparison of the discrimination performance of lasso and maximum likelihood estimation in logistic regression model
by: Junior, Gilberto P. Alcântara, et al.
Published: (2024)
by: Junior, Gilberto P. Alcântara, et al.
Published: (2024)
LocalCop: An R package for local likelihood inference for conditional copulas
by: Acar, Elif F., et al.
Published: (2024)
by: Acar, Elif F., et al.
Published: (2024)
High-dimensional Longitudinal Inference via a De-sparsified Dantzig-Selector
by: Huey, Nathan
Published: (2025)
by: Huey, Nathan
Published: (2025)
Expectation-propagation for Bayesian empirical likelihood inference
by: Ng, Kenyon, et al.
Published: (2025)
by: Ng, Kenyon, et al.
Published: (2025)
Similar Items
-
Penalized weighted GEEs for high-dimensional longitudinal data with informative cluter size
by: Ma, Yue, et al.
Published: (2025) -
Decorrelated forward regression for high dimensional data analysis
by: Jiang, Xuejun, et al.
Published: (2024) -
Adaptive Penalized Doubly Robust Regression for Longitudinal Data
by: Wang, Yuyao, et al.
Published: (2026) -
Cross-Semantic Transfer Learning for High-Dimensional Linear Regression
by: Jiang, Jiancheng, et al.
Published: (2025) -
A Primal Dual Active Set with Continuation Algorithm for $\ell_0$-Penalized High-dimensional Accelerated Failure Time Model
by: Li, Peili, et al.
Published: (2025)