Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
Fuente:
arXiv
Saved in:
| Main Authors: | Rustand, Denis, Rue, Håvard, Gall, Lisa Le, Leffondre, Karen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
by: Rustand, Denis, et al.
Published: (2022)
by: Rustand, Denis, et al.
Published: (2022)
Spatio-temporal Occupancy Models with INLA
by: Belmont, Jafet, et al.
Published: (2024)
by: Belmont, Jafet, et al.
Published: (2024)
A new avenue for Bayesian inference with INLA
by: van Niekerk, Janet, et al.
Published: (2022)
by: van Niekerk, Janet, et al.
Published: (2022)
Bayesian survival analysis with INLA
by: Alvares, Danilo, et al.
Published: (2022)
by: Alvares, Danilo, et al.
Published: (2022)
PyINLA: Fast Bayesian Inference for Latent Gaussian Models in Python
by: Fattah, Esmail Abdul, et al.
Published: (2026)
by: Fattah, Esmail Abdul, et al.
Published: (2026)
Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy
by: Cao, Zhi, et al.
Published: (2025)
by: Cao, Zhi, et al.
Published: (2025)
Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint
by: Rustand, Denis, et al.
Published: (2024)
by: Rustand, Denis, et al.
Published: (2024)
Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)
by: Whitaker, Sam A., et al.
Published: (2024)
A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
by: Neto, Dionisio Silva, et al.
Published: (2025)
by: Neto, Dionisio Silva, et al.
Published: (2025)
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
by: Adin, A., et al.
Published: (2023)
by: Adin, A., et al.
Published: (2023)
Bayesian hidden Markov models for latent variable labeling assignments in conflict research: application to the role ceasefires play in conflict dynamics
by: Williams, Jonathan P, et al.
Published: (2021)
by: Williams, Jonathan P, et al.
Published: (2021)
Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)
by: Kang, Bokgyeong, et al.
Published: (2023)
Bayesian semiparametric modelling of biomarker variability in joint models
by: Chen, Sida, et al.
Published: (2025)
by: Chen, Sida, et al.
Published: (2025)
A unifying modelling approach for hierarchical distributed lag models
by: Economou, Theo, et al.
Published: (2024)
by: Economou, Theo, et al.
Published: (2024)
An integrated method for clustering and association network inference
by: Tous, Jeanne, et al.
Published: (2025)
by: Tous, Jeanne, et al.
Published: (2025)
Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)
by: Bhandari, Saurabh, et al.
Published: (2025)
A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
by: Alvares, Danilo, et al.
Published: (2024)
by: Alvares, Danilo, et al.
Published: (2024)
Bayesian survival analysis with INLA
by: Danilo Alvares, et al.
Published: (2024)
by: Danilo Alvares, et al.
Published: (2024)
Penalizing complexity priors for Bayesian inference of circular models
by: Ye, Xiang, et al.
Published: (2025)
by: Ye, Xiang, et al.
Published: (2025)
Trans-dimensional Bayesian model averaging for $^{13}$C-based metabolic flux analysis: Evidence-based flux inference under structural model uncertainty
by: Jadebeck, Johann F., et al.
Published: (2026)
by: Jadebeck, Johann F., et al.
Published: (2026)
Fast spatial simulation of extreme high-resolution radar precipitation data using INLA
by: Vandeskog, Silius M., et al.
Published: (2023)
by: Vandeskog, Silius M., et al.
Published: (2023)
Robust inference for linear regression models with possibly skewed error distribution
by: Nandy, Amarnath, et al.
Published: (2024)
by: Nandy, Amarnath, et al.
Published: (2024)
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
by: Morsomme, Raphael, et al.
Published: (2024)
by: Morsomme, Raphael, et al.
Published: (2024)
Bayesian hierarchical models with calibrated mixtures of g-priors for assessing treatment effect moderation in meta-analysis
by: Wang, Qiao, et al.
Published: (2024)
by: Wang, Qiao, et al.
Published: (2024)
Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures
by: Ouyang, Yongdong, et al.
Published: (2023)
by: Ouyang, Yongdong, et al.
Published: (2023)
A Bayesian regression framework for circular models with INLA
by: Ye, Xiang, et al.
Published: (2026)
by: Ye, Xiang, et al.
Published: (2026)
Bayesian inference of Latent Spectral Shapes
by: Yip, Hiu Ching, et al.
Published: (2024)
by: Yip, Hiu Ching, et al.
Published: (2024)
A mixture of distributed lag non-linear models to account for spatially heterogeneous exposure-lag-response associations
by: Briz-Redón, Álvaro, et al.
Published: (2025)
by: Briz-Redón, Álvaro, et al.
Published: (2025)
Efficient scenario analysis in real-time Bayesian election forecasting via sequential meta-posterior sampling
by: Han, Geonhee, et al.
Published: (2025)
by: Han, Geonhee, et al.
Published: (2025)
Fast and robust invariant generalized linear models
by: Knight, Parker, et al.
Published: (2025)
by: Knight, Parker, et al.
Published: (2025)
A graphical framework for interpretable correlation matrix models
by: Sterrantino, Anna Freni, et al.
Published: (2023)
by: Sterrantino, Anna Freni, et al.
Published: (2023)
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)
by: Chen, David, et al.
Published: (2024)
The underreported death toll of wars: a probabilistic reassessment from a structured expert elicitation
by: Vesco, Paola, et al.
Published: (2024)
by: Vesco, Paola, et al.
Published: (2024)
A Bayesian hierarchical framework for fusion of remote sensing data: An example with solar-induced fluorescence
by: Johny, Manju, et al.
Published: (2025)
by: Johny, Manju, et al.
Published: (2025)
Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)
by: Basu, Tathagata, et al.
Published: (2024)
A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)
by: Alvares, Danilo, et al.
Published: (2024)
Bayesian weighted discrete-time dynamic models for association football prediction
by: Macrì-Demartino, Roberto, et al.
Published: (2025)
by: Macrì-Demartino, Roberto, et al.
Published: (2025)
Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies
by: St-Pierre, Julien, et al.
Published: (2025)
by: St-Pierre, Julien, et al.
Published: (2025)
Bayesian sample size calculations for external validation studies of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2025)
by: Sadatsafavi, Mohsen, et al.
Published: (2025)
Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)
by: Castelletti, Federico, et al.
Published: (2024)
Similar Items
-
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
by: Rustand, Denis, et al.
Published: (2022) -
Spatio-temporal Occupancy Models with INLA
by: Belmont, Jafet, et al.
Published: (2024) -
A new avenue for Bayesian inference with INLA
by: van Niekerk, Janet, et al.
Published: (2022) -
Bayesian survival analysis with INLA
by: Alvares, Danilo, et al.
Published: (2022) -
PyINLA: Fast Bayesian Inference for Latent Gaussian Models in Python
by: Fattah, Esmail Abdul, et al.
Published: (2026)