Density regression via Dirichlet process mixtures of normal structured additive regression models
Fuente:
arXiv
Saved in:
| Main Authors: | Rodríguez-Álvarez, María Xosé, Inácio, Vanda, Klein, Nadja |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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 Bayesian functional model with multilevel partition priors for group studies in neuroscience
by: Margaritella, Nicolò, et al.
Published: (2023)
by: Margaritella, Nicolò, et al.
Published: (2023)
This is not normal! (Re-) Evaluating the lower $n$ guidelines for regression analysis
by: Randahl, David
Published: (2024)
by: Randahl, David
Published: (2024)
Change-point regression with a smooth additive disturbance
by: Pein, Florian, et al.
Published: (2021)
by: Pein, Florian, et al.
Published: (2021)
Marginally interpretable spatial logistic regression with bridge processes
by: Lee, Changwoo J., et al.
Published: (2024)
by: Lee, Changwoo J., et al.
Published: (2024)
A novel generalized additive scalar-on-function regression model for partially observed multidimensional functional data: An application to air quality classification
by: Hernández-Amaro, Pavel, et al.
Published: (2025)
by: Hernández-Amaro, Pavel, et al.
Published: (2025)
Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare
by: Esser, Jonas, et al.
Published: (2024)
by: Esser, Jonas, et al.
Published: (2024)
Logistic regression models: practical induced prior specification
by: Newman, Ken B., et al.
Published: (2025)
by: Newman, Ken B., et al.
Published: (2025)
Hazard-based distributional regression via ordinary differential equations
by: Christen, J. A., et al.
Published: (2025)
by: Christen, J. A., et al.
Published: (2025)
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
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)
Logistic regression with missing responses and predictors: a review of existing approaches and a case study
by: Martins, Susana Rafaela, et al.
Published: (2023)
by: Martins, Susana Rafaela, et al.
Published: (2023)
Likelihood-based Modeling of Covariate-Specific Time-Dependent ROC Curves
by: Sewak, Ainesh, et al.
Published: (2025)
by: Sewak, Ainesh, et al.
Published: (2025)
Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
by: Lam, Ka Kin, et al.
Published: (2021)
by: Lam, Ka Kin, et al.
Published: (2021)
Quantile regression with generalized multiquadric loss function
by: Gao, Wenwu, et al.
Published: (2025)
by: Gao, Wenwu, et al.
Published: (2025)
Bayesian nonparametric mean residual life regression
by: Poynor, Valerie, et al.
Published: (2014)
by: Poynor, Valerie, et al.
Published: (2014)
A marginalized three-part interrupted time series regression model for proportional data
by: Ye, Shangyuan, et al.
Published: (2022)
by: Ye, Shangyuan, et al.
Published: (2022)
Quantile regression for longitudinal functional data with application to feed intake of lactating sows
by: Battagliola, Maria Laura, et al.
Published: (2023)
by: Battagliola, Maria Laura, et al.
Published: (2023)
Quantifying uncertainty of individualized treatment effects in right-censored survival data: A comparison of Bayesian additive regression trees and causal survival forest
by: Kabata, Daijiro, et al.
Published: (2025)
by: Kabata, Daijiro, et al.
Published: (2025)
Penalised spline estimation of covariate-specific time-dependent ROC curves
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2025)
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2025)
Subdata selection for big data regression: an improved approach
by: Chasiotis, Vasilis, et al.
Published: (2023)
by: Chasiotis, Vasilis, et al.
Published: (2023)
While-alive regression analysis of composite survival endpoints
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, 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)
Dynamic SIR/SEIR-like models comprising a time-dependent transmission rate: Hamiltonian Monte Carlo approach with applications to COVID-19
by: Inouzhe, Hristo, et al.
Published: (2023)
by: Inouzhe, Hristo, et al.
Published: (2023)
Bayesian compositional regression with flexible microbiome feature aggregation and selection
by: Saha, Satabdi, et al.
Published: (2024)
by: Saha, Satabdi, et al.
Published: (2024)
Bayesian network-guided sparse regression with flexible varying effects
by: Ren, Yangfan, et al.
Published: (2024)
by: Ren, Yangfan, et al.
Published: (2024)
Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
by: Kobayashi, Genya, et al.
Published: (2026)
by: Kobayashi, Genya, et al.
Published: (2026)
Heterogeneity-aware integrative regression for ancestry-specific association studies
by: Molstad, Aaron J., et al.
Published: (2023)
by: Molstad, Aaron J., et al.
Published: (2023)
Conditional probability tensor decompositions for multivariate categorical response regression
by: Molstad, Aaron J., et al.
Published: (2022)
by: Molstad, Aaron J., et al.
Published: (2022)
Bayesian kernel machine regression for heteroscedastic health outcome data
by: Smith, Melissa J., et al.
Published: (2025)
by: Smith, Melissa J., et al.
Published: (2025)
Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
by: Chen, Yuting, et al.
Published: (2025)
by: Chen, Yuting, et al.
Published: (2025)
Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression
by: Chan, Christian, et al.
Published: (2024)
by: Chan, Christian, et al.
Published: (2024)
Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)
by: Ji, Feng, et al.
Published: (2024)
Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression
by: Li, Mingyuan, et al.
Published: (2025)
by: Li, Mingyuan, et al.
Published: (2025)
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)
by: Sareff-Hibbert, Aydin, et al.
Published: (2024)
Robust reduced rank regression under heavy-tailed noise and missing data via non-convex penalization
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Insights into regression-based cross-temporal forecast reconciliation
by: Girolimetto, Daniele, et al.
Published: (2024)
by: Girolimetto, Daniele, et al.
Published: (2024)
Detecting influential observations in single-index Fréchet regression
by: Soale, Abdul-Nasah
Published: (2023)
by: Soale, Abdul-Nasah
Published: (2023)
Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)
by: Lacroix, Perrine, et al.
Published: (2021)
Similar Items
-
Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
by: Strömer, Annika, et al.
Published: (2024) -
Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023) -
A Bayesian functional model with multilevel partition priors for group studies in neuroscience
by: Margaritella, Nicolò, et al.
Published: (2023) -
This is not normal! (Re-) Evaluating the lower $n$ guidelines for regression analysis
by: Randahl, David
Published: (2024) -
Change-point regression with a smooth additive disturbance
by: Pein, Florian, et al.
Published: (2021)