Cover Image

Hazard-based distributional regression via ordinary differential equations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Christen, J. A., Rubio, F. J.
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic survival analysis: modelling the hazard function via ordinary differential equations
by: Christen, J. A., et al.
Published: (2023)

Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
by: Xu, Zichun, et al.
Published: (2026)

A comparison between copula-based, mixed model, and estimating equation methods for regression of bivariate correlated data
by: Sareff-Hibbert, Aydin, et al.
Published: (2024)

Robust inference for linear regression models with possibly skewed error distribution
by: Nandy, Amarnath, et al.
Published: (2024)

Density regression via Dirichlet process mixtures of normal structured additive regression models
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2024)

Statistical Considerations for Evaluating Treatment Effect under Various Non-proportional Hazard Scenarios
by: Zhang, Xinyu, et al.
Published: (2024)

Probabilistic Downscaling for Flood Hazard Models
by: Roth, Samantha, et al.
Published: (2025)

On the Proportional Principal Stratum Hazards Model
by: Sun, Jiren, et al.
Published: (2025)

Marginally interpretable spatial logistic regression with bridge processes
by: Lee, Changwoo J., 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)

Conditional probability tensor decompositions for multivariate categorical response regression
by: Molstad, Aaron J., et al.
Published: (2022)

Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)

Optimal Experimental Design for Microplastics Sampling Experiments
by: Aquino-López, Marco A., et al.
Published: (2025)

Heterogeneity-aware integrative regression for ancestry-specific association studies
by: Molstad, Aaron J., et al.
Published: (2023)

Bayesian kernel machine regression for heteroscedastic health outcome data
by: Smith, Melissa J., et al.
Published: (2025)

Bayesian Methods for Modeling Cumulative Exposure to Extensive Environmental Health Hazards
by: Trangucci, Rob, et al.
Published: (2024)

Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems
by: Sung, Chih-Li, et al.
Published: (2023)

Insights into regression-based cross-temporal forecast reconciliation
by: Girolimetto, Daniele, et al.
Published: (2024)

Efficient and Debiased Learning of Average Hazard Under Non-Proportional Hazards
by: Meng, Xiang, et al.
Published: (2026)

A brief introduction on latent variable based ordinal regression models with an application to survey data
by: Wieditz, Johannes, et al.
Published: (2023)

Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)

Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
by: Chen, Yuting, et al.
Published: (2025)

Quantile regression with generalized multiquadric loss function
by: Gao, Wenwu, et al.
Published: (2025)

Bayesian nonparametric mean residual life regression
by: Poynor, Valerie, et al.
Published: (2014)

Robust reduced rank regression under heavy-tailed noise and missing data via non-convex penalization
by: Mai, The Tien
Published: (2025)

Logistic regression models: practical induced prior specification
by: Newman, Ken B., et al.
Published: (2025)

While-alive regression analysis of composite survival endpoints
by: Fang, Xi, et al.
Published: (2025)

Subdata selection for big data regression: an improved approach
by: Chasiotis, Vasilis, et al.
Published: (2023)

Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
by: Kobayashi, Genya, et al.
Published: (2026)

Bayesian compositional regression with flexible microbiome feature aggregation and selection
by: Saha, Satabdi, et al.
Published: (2024)

This is not normal! (Re-) Evaluating the lower $n$ guidelines for regression analysis
by: Randahl, David
Published: (2024)

Bayesian network-guided sparse regression with flexible varying effects
by: Ren, Yangfan, et al.
Published: (2024)

Regularized Bidimensional Estimation of the Hazard Rate
by: Goepp, Vivien, et al.
Published: (2018)

Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products
by: Papacharalampous, Georgia, et al.
Published: (2024)

Uncovering dynamics between SARS-CoV-2 wastewater concentrations and community infections via Bayesian spatial functional concurrent regression
by: Sun, Thomas Y., et al.
Published: (2024)

Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric regression
by: De Sanctis, Marco F., et al.
Published: (2025)

Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression
by: Li, Mingyuan, et al.
Published: (2025)

Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)

Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025)

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)