Integrating complex selection rules into the latent overlapping group Lasso for constructing coherent prediction models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Guanbo, Perreault, Sylvie, Platt, Robert W., Wang, Rui, Dorais, Marc, Schnitzer, Mireille E. |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Structured Learning in Time-dependent Cox Models
by: Wang, Guanbo, et al.
Published: (2023)
by: Wang, Guanbo, et al.
Published: (2023)
Integrating Complex Selection Rules Into the Latent Overlapping Group Lasso for the Construction of Coherent Prediction Models
by: Guanbo Wang, et al.
Published: (2025)
by: Guanbo Wang, et al.
Published: (2025)
What if we had built a prediction model with a survival super learner instead of a Cox model 10 years ago?
by: Chatton, Arthur, et al.
Published: (2024)
by: Chatton, Arthur, et al.
Published: (2024)
Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes
by: Chatton, Arthur, et al.
Published: (2023)
by: Chatton, Arthur, et al.
Published: (2023)
A general framework for formulating structured variable selection
by: Wang, Guanbo, et al.
Published: (2021)
by: Wang, Guanbo, et al.
Published: (2021)
Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
by: Bian, Yuan, et al.
Published: (2026)
by: Bian, Yuan, et al.
Published: (2026)
Bad estimation, good prediction: the Lasso in dense regimes
by: Bratsberg, Andrea, et al.
Published: (2025)
by: Bratsberg, Andrea, et al.
Published: (2025)
Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes
by: Jaman, Ajmery, et al.
Published: (2024)
by: Jaman, Ajmery, et al.
Published: (2024)
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025)
by: May, Paul B., et al.
Published: (2025)
Comparing Lasso and Adaptive Lasso in High-Dimensional Data: A Genetic Survival Analysis in Triple-Negative Breast Cancer
by: González-Barquero, Pilar, et al.
Published: (2024)
by: González-Barquero, Pilar, et al.
Published: (2024)
Functional structural equation modeling with latent variables
by: Asgari, Fatemeh, et al.
Published: (2024)
by: Asgari, Fatemeh, et al.
Published: (2024)
Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
by: Strömer, Annika, et al.
Published: (2024)
by: Strömer, Annika, et al.
Published: (2024)
A latent variable model for identifying and characterizing food adulteration
by: Casa, Alessandro, et al.
Published: (2025)
by: Casa, Alessandro, et al.
Published: (2025)
A latent space model for multivariate count data time series analysis
by: Kaur, Hardeep, et al.
Published: (2024)
by: Kaur, Hardeep, et al.
Published: (2024)
Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
by: Miah, Kaya, et al.
Published: (2024)
by: Miah, Kaya, et al.
Published: (2024)
Examining the Association between Estimated Prevalence and Diagnostic Test Accuracy using Directed Acyclic Graphs
by: Lu, Yang, et al.
Published: (2025)
by: Lu, Yang, et al.
Published: (2025)
Uncovering latent territorial structure in ICFES Saber 11 performance with Bayesian multilevel spatial models
by: Pardo, Laura, et al.
Published: (2025)
by: Pardo, Laura, et al.
Published: (2025)
A brief introduction on latent variable based ordinal regression models with an application to survey data
by: Wieditz, Johannes, et al.
Published: (2023)
by: Wieditz, Johannes, et al.
Published: (2023)
Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National Covid Collaborative Cohort data
by: Wang, Runqiu, et al.
Published: (2023)
by: Wang, Runqiu, et al.
Published: (2023)
Distributional regression for seasonal data: an application to river flows
by: Perreault, Samuel, et al.
Published: (2025)
by: Perreault, Samuel, et al.
Published: (2025)
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)
Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability
by: Bartels, Christian, et al.
Published: (2024)
by: Bartels, Christian, et al.
Published: (2024)
Multi-scale wavelet coherence
by: Wu, Haibo, et al.
Published: (2023)
by: Wu, Haibo, et al.
Published: (2023)
A constructive approach to selective risk control
by: Gao, Zijun, et al.
Published: (2024)
by: Gao, Zijun, et al.
Published: (2024)
Latent class multivariate probit and latent trait models for evaluating test accuracy without a gold standard: A simulation study
by: Cerullo, Enzo, et al.
Published: (2025)
by: Cerullo, Enzo, et al.
Published: (2025)
A statistical approach to latent dynamic modeling with differential equations
by: Hackenberg, Maren, et al.
Published: (2023)
by: Hackenberg, Maren, et al.
Published: (2023)
Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection
by: Lacroix, Perrine, et al.
Published: (2023)
by: Lacroix, Perrine, et al.
Published: (2023)
Estimating temporary emigration from capture-recapture data in the presence of latent identification
by: Skopalova, Katarina, et al.
Published: (2025)
by: Skopalova, Katarina, et al.
Published: (2025)
Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023)
by: Kock, Lucas, et al.
Published: (2023)
A latent factor approach to hyperspectral time series data for multivariate genomic prediction of grain yield in wheat
by: Kunst, Jonathan F., et al.
Published: (2026)
by: Kunst, Jonathan F., et al.
Published: (2026)
How to develop, externally validate, and update multinomial prediction models
by: Gehringer, Celina K, et al.
Published: (2023)
by: Gehringer, Celina K, et al.
Published: (2023)
Functional and variables selection in extreme value models for regional flood frequency analysis
by: Gardini, Aldo
Published: (2023)
by: Gardini, Aldo
Published: (2023)
Valid post-selection inference for penalized G-estimation
by: Jaman, Ajmery, et al.
Published: (2025)
by: Jaman, Ajmery, et al.
Published: (2025)
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)
Improving prediction models by incorporating external data with weights based on similarity
by: Behrens, Max, et al.
Published: (2024)
by: Behrens, Max, et al.
Published: (2024)
Multivariate distributional modeling of low, moderate, and large intensities without threshold selection steps
by: Gaetan, Carlo, et al.
Published: (2025)
by: Gaetan, Carlo, et al.
Published: (2025)
A neighbour selection approach for identifying differential networks in conditional functional graphical models
by: Mapelli, Alessia, et al.
Published: (2026)
by: Mapelli, Alessia, et al.
Published: (2026)
A regularized multi-state model for covariate selection with interval-censored survival data
by: Bercu, Ariane, et al.
Published: (2025)
by: Bercu, Ariane, et al.
Published: (2025)
Combining missing data imputation and internal validation in clinical risk prediction models
by: Mi, Junhui, et al.
Published: (2024)
by: Mi, Junhui, et al.
Published: (2024)
Regression approaches for modelling genotype-environment interaction and making predictions into unseen environments
by: Hrachov, Maksym, et al.
Published: (2025)
by: Hrachov, Maksym, et al.
Published: (2025)
Similar Items
-
Structured Learning in Time-dependent Cox Models
by: Wang, Guanbo, et al.
Published: (2023) -
Integrating Complex Selection Rules Into the Latent Overlapping Group Lasso for the Construction of Coherent Prediction Models
by: Guanbo Wang, et al.
Published: (2025) -
What if we had built a prediction model with a survival super learner instead of a Cox model 10 years ago?
by: Chatton, Arthur, et al.
Published: (2024) -
Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes
by: Chatton, Arthur, et al.
Published: (2023) -
A general framework for formulating structured variable selection
by: Wang, Guanbo, et al.
Published: (2021)