A Semiparametric Nonlinear Mixed Effects Model with Penalized Splines Using Automatic Differentiation
Fuente:
arXiv
Saved in:
| Main Authors: | D'Alessandro, Matteo, Thoresen, Magne, Sørensen, Øystein |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Methods of Selective Inference for Linear Mixed Models: a Review and Empirical Comparison
by: D'Alessandro, Matteo, et al.
Published: (2025)
by: D'Alessandro, Matteo, et al.
Published: (2025)
Efficient Bayesian Estimation of Dynamic Structural Equation Models via State Space Marginalization
by: Sørensen, Øystein
Published: (2026)
by: Sørensen, Øystein
Published: (2026)
A Computationally Efficient Approach to False Discovery Rate Control and Power Maximisation via Randomisation and Mirror Statistic
by: Molinari, Marco, et al.
Published: (2024)
by: Molinari, Marco, et al.
Published: (2024)
False Discovery Rate Control via Bayesian Mirror Statistic
by: Molinari, Marco, et al.
Published: (2025)
by: Molinari, Marco, et al.
Published: (2025)
penalizedclr: an R package for penalized conditional logistic regression for integration of multiple omics layers
by: Djordjilović, Vera, et al.
Published: (2024)
by: Djordjilović, Vera, et al.
Published: (2024)
Conditional variable screening for ultra-high dimensional longitudinal data with time interactions
by: Bratsberg, Andrea, et al.
Published: (2023)
by: Bratsberg, Andrea, et al.
Published: (2023)
A Hybrid NUTS-Gibbs Sampler with State Space Marginalization for Estimation of Dynamic Structural Equation Models with Binomial Outcomes
by: Sørensen, Øystein, et al.
Published: (2026)
by: Sørensen, Øystein, et al.
Published: (2026)
Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control
by: Castel, Charlotte, et al.
Published: (2024)
by: Castel, Charlotte, et al.
Published: (2024)
Methods for differential network estimation: an empirical comparison
by: Plaksienko, Anna, et al.
Published: (2024)
by: Plaksienko, Anna, et al.
Published: (2024)
Bad estimation, good prediction: the Lasso in dense regimes
by: Bratsberg, Andrea, et al.
Published: (2025)
by: Bratsberg, Andrea, et al.
Published: (2025)
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)
Integrating Multiple Data Sources with Interactions in Multi-Omics Using Cooperative Learning
by: D'Alessandro, Matteo, et al.
Published: (2024)
by: D'Alessandro, Matteo, et al.
Published: (2024)
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects
by: Zhan, Tianyu, et al.
Published: (2025)
by: Zhan, Tianyu, et al.
Published: (2025)
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)
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models
by: Heiling, Hillary M., et al.
Published: (2023)
by: Heiling, Hillary M., et al.
Published: (2023)
Deep Semiparametric Partial Differential Equation Models
by: Chen, Ziyuan, et al.
Published: (2025)
by: Chen, Ziyuan, et al.
Published: (2025)
Spline Quantile Regression
by: Li, Ta-Hsin, et al.
Published: (2025)
by: Li, Ta-Hsin, et al.
Published: (2025)
A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
by: Korsurat, Suppapat, et al.
Published: (2025)
by: Korsurat, Suppapat, et al.
Published: (2025)
Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines
by: Loyal, Joshua Daniel
Published: (2024)
by: Loyal, Joshua Daniel
Published: (2024)
Penalized Spline M-Estimators for Discretely Sampled Functional Data: Existence and Asymptotics
by: Kalogridis, Ioannis
Published: (2025)
by: Kalogridis, Ioannis
Published: (2025)
Spline-Based Multi-State Models for Analyzing Disease Progression
by: Eletti, Alessia, et al.
Published: (2023)
by: Eletti, Alessia, et al.
Published: (2023)
Advancing Stepped Wedge Cluster Randomized Trials Analysis: Bayesian Hierarchical Penalized Spline Models for Immediate and Time-Varying Intervention Effects
by: Wu, Danni, et al.
Published: (2024)
by: Wu, Danni, et al.
Published: (2024)
Diagnostics for Semiparametric Accelerated Failure Time Models with R Package afttest
by: Bae, Woojung, et al.
Published: (2025)
by: Bae, Woojung, et al.
Published: (2025)
Semiparametric Mixed-effects Model for Longitudinal Data with Non-normal Errors
by: Taavoni, Mozhgan, et al.
Published: (2022)
by: Taavoni, Mozhgan, et al.
Published: (2022)
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning
by: Mukhopadhyay, Minerva, et al.
Published: (2021)
by: Mukhopadhyay, Minerva, et al.
Published: (2021)
Fitting Large Nonlinear Mixed Effects Models Using Variational Expectation Maximization
by: Tarek, Mohamed, et al.
Published: (2026)
by: Tarek, Mohamed, et al.
Published: (2026)
Nonparametric Density Estimation for Data Scattered on Irregular Spatial Domains: A Likelihood-Based Approach Using Bivariate Penalized Spline Smoothing
by: Das, Kunal, et al.
Published: (2024)
by: Das, Kunal, et al.
Published: (2024)
Semiparametric Growth-Curve Modeling in Hierarchical, Longitudinal Studies
by: Selukar, Rajesh
Published: (2025)
by: Selukar, Rajesh
Published: (2025)
Bayesian Compressed Mixed-Effects Models
by: Sarkar, Sreya, et al.
Published: (2025)
by: Sarkar, Sreya, et al.
Published: (2025)
Causal Survival Analysis in Platform Trials with Non-Concurrent Controls
by: D'Alessandro, Antonio, et al.
Published: (2026)
by: D'Alessandro, Antonio, et al.
Published: (2026)
Estimating Associations Between Cumulative Exposure and Health via Generalized Distributed Lag Non-Linear Models using Penalized Splines
by: Pan, Tianyi, et al.
Published: (2025)
by: Pan, Tianyi, et al.
Published: (2025)
Spatial Capture-Recapture With Penalized Regression Splines to Flexibly Model Wildlife Density and Distribution
by: Seaton, Andrew E., et al.
Published: (2026)
by: Seaton, Andrew E., et al.
Published: (2026)
Semiparametric fiducial inference for Cox models
by: Cui, Yifan, et al.
Published: (2024)
by: Cui, Yifan, et al.
Published: (2024)
fkbma: An R Package for Detecting Tailoring Variables with Free-Knot B-Splines and Bayesian Model Averaging
by: Maleyeff, Lara, et al.
Published: (2025)
by: Maleyeff, Lara, et al.
Published: (2025)
Bayesian Semiparametric Mixture Cure (Frailty) Models
by: Kızılaslan, Fatih, et al.
Published: (2025)
by: Kızılaslan, Fatih, et al.
Published: (2025)
Efficient Implementation of a Semiparametric Joint Model for Multivariate Longitudinal Biomarkers and Competing Risks Time-to-Event Data
by: Li, Shanpeng, et al.
Published: (2025)
by: Li, Shanpeng, et al.
Published: (2025)
Semiparametric Discovery and Estimation of Interaction in Mixed Exposures using Stochastic Interventions
by: McCoy, David B., et al.
Published: (2023)
by: McCoy, David B., et al.
Published: (2023)
Identification of Partial-Differential-Equations-Based Models from Noisy Data via Splines
by: Zhao, Yujie, et al.
Published: (2021)
by: Zhao, Yujie, et al.
Published: (2021)
Bayesian Semiparametric Orthogonal Tucker Factorized Mixed Models for Multi-dimensional Longitudinal Functional Data
by: Roy, Arkaprava, et al.
Published: (2025)
by: Roy, Arkaprava, et al.
Published: (2025)
Semismooth Newton Augmented Lagrangian Algorithm for Adaptive Lasso Penalized Least Squares in Semiparametric Regression
by: Li, Peili, et al.
Published: (2021)
by: Li, Peili, et al.
Published: (2021)
Similar Items
-
Methods of Selective Inference for Linear Mixed Models: a Review and Empirical Comparison
by: D'Alessandro, Matteo, et al.
Published: (2025) -
Efficient Bayesian Estimation of Dynamic Structural Equation Models via State Space Marginalization
by: Sørensen, Øystein
Published: (2026) -
A Computationally Efficient Approach to False Discovery Rate Control and Power Maximisation via Randomisation and Mirror Statistic
by: Molinari, Marco, et al.
Published: (2024) -
False Discovery Rate Control via Bayesian Mirror Statistic
by: Molinari, Marco, et al.
Published: (2025) -
penalizedclr: an R package for penalized conditional logistic regression for integration of multiple omics layers
by: Djordjilović, Vera, et al.
Published: (2024)