Cover Image

$\ell_1$-penalized Multinomial Regression: Estimation, inference, and prediction, with an application to risk factor identification for different dementia subtypes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tian, Ye, Rusinek, Henry, Masurkar, Arjun V., Feng, Yang
Format:	Preprint
Published:	2023
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Non-parametric inference on calibration of predicted risks
by: Sadatsafavi, Mohsen, et al.
Published: (2023)

A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
by: Erlandson, Brody, et al.
Published: (2026)

Scalable Estimation of Multinomial Response Models with Random Consideration Sets
by: Chib, Siddhartha, et al.
Published: (2023)

A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023)

Identifiability of the Multinomial Processing Tree-IRT model for the Philadelphia Naming Test
by: Womack, Andrew J., et al.
Published: (2023)

Assessing the Accuracy of Multisource Register-based Official Statistics for Multinomial Outcomes
by: Deliu, Nina, et al.
Published: (2025)

Conjugating Variational Inference for Large Mixed Multinomial Logit Models and Consumer Choice
by: Zhang, Weiben, et al.
Published: (2026)

A Dirichlet-Multinomial-Poisson framework for the coherent analysis and forecast of cause-specific mortality
by: Nigri, Andrea, et al.
Published: (2026)

Two-Stage Trigonometric Regression for Modeling Circadian Rhythms
by: Gorczyca, Michael T., et al.
Published: (2025)

Shrinkage Estimators for Beta Regression Models
by: Firinguetti, Luis, et al.
Published: (2024)

Trajectory-informed graph-based clustering for longitudinal cancer subtyping
by: Cavinato, Lara, et al.
Published: (2026)

Regression approaches for modelling genotype-environment interaction and making predictions into unseen environments
by: Hrachov, Maksym, et al.
Published: (2025)

Autoregressive models for panel data causal inference with application to state-level opioid policies
by: Antonelli, Joseph, et al.
Published: (2024)

Robust Liu-Type Estimation for Multicollinearity in Fuzzy Logistic Regression
by: Shemail, Ayad Habib, et al.
Published: (2025)

Estimating temporary emigration from capture-recapture data in the presence of latent identification
by: Skopalova, Katarina, et al.
Published: (2025)

Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
by: Zhang, Jeffrey, et al.
Published: (2025)

A primer on inference and prediction with epidemic renewal models and sequential Monte Carlo
by: Steyn, Nicholas, et al.
Published: (2025)

Dynamic prediction of death risk given a renewal hospitalization process
by: Pérez-Izquierdo, Telmo J., et al.
Published: (2024)

On clustering levels of a hierarchical categorical risk factor
by: Campo, Bavo D. C., et al.
Published: (2023)

Diagnostics for Regression Models with Semicontinuous Outcomes
by: Yang, Lu
Published: (2024)

Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024)

Combining missing data imputation and internal validation in clinical risk prediction models
by: Mi, Junhui, et al.
Published: (2024)

MM Algorithms for Statistical Estimation in Quantile Regression
by: Cheng, Yifan, et al.
Published: (2024)

Robust inference for risk heterogeneity under group imbalance
by: Xu, Mengqi, et al.
Published: (2026)

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing
by: Das, Pramit, et al.
Published: (2025)

Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs
by: Sawada, Masayuki, et al.
Published: (2024)

A warning system for risk prediction of metabolic syndrome in a healthy population of blood donors
by: Colombara, Simone, et al.
Published: (2026)

Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
by: Cooper, Alysha, et al.
Published: (2025)

Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes
by: Yang, Lu
Published: (2023)

Spatiotemporal factor models for functional data with application to population map forecast
by: Wakayama, Tomoya, et al.
Published: (2023)

Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
by: Zhang, Danlu, et al.
Published: (2025)

Causal inference with a functional outcome
by: Ecker, Kreske, et al.
Published: (2023)

Bayesian inference of Latent Spectral Shapes
by: Yip, Hiu Ching, et al.
Published: (2024)

Group integrative dynamic factor models with application to multiple subject brain connectivity
by: Kim, Younghoon, et al.
Published: (2023)

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
by: Sondhi, Arjun, et al.
Published: (2024)

Combining longitudinal cohort studies to examine cardiovascular risk factor trajectories across the adult lifespan
by: Aghabazaz, Zeynab, et al.
Published: (2025)

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)

Additive Density Regression
by: Maier, Eva-Maria, et al.
Published: (2025)

Functional Moments Regression
by: Li, Mingyuan, et al.
Published: (2026)

Significant inference and confidence sets for graphical models
by: Koldanov, P. A., et al.
Published: (2025)