Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yang, Goudie, Robert J. B. |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A General Framework for Cutting Feedback within Modularised Bayesian Inference
by: Liu, Yang, et al.
Published: (2022)
by: Liu, Yang, et al.
Published: (2022)
Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
by: Liu, Yang, et al.
Published: (2020)
by: Liu, Yang, et al.
Published: (2020)
Combining chains of Bayesian models with Markov melding
by: Manderson, Andrew A., et al.
Published: (2021)
by: Manderson, Andrew A., et al.
Published: (2021)
Bayesian Geographically Weighted Regression using Fused Lasso Prior
by: Sakai, Toshiki, et al.
Published: (2024)
by: Sakai, Toshiki, et al.
Published: (2024)
A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses
by: Pitt, Matilda, et al.
Published: (2026)
by: Pitt, Matilda, et al.
Published: (2026)
Chained Markov melding using divide and conquer sequential Monte Carlo
by: Liu, Yixuan, et al.
Published: (2026)
by: Liu, Yixuan, et al.
Published: (2026)
Translating predictive distributions into informative priors
by: Manderson, Andrew A., et al.
Published: (2023)
by: Manderson, Andrew A., et al.
Published: (2023)
A Top-Down Scale Approach for Multiscale Geographically and Temporally Weighted Regression
by: Geniaux, Ghislain, et al.
Published: (2026)
by: Geniaux, Ghislain, et al.
Published: (2026)
M-SGWR: Multiscale Similarity and Geographically Weighted Regression
by: Lessani, M. Naser, et al.
Published: (2026)
by: Lessani, M. Naser, et al.
Published: (2026)
Integrated Subset Selection and Bandwidth Estimation Algorithm for Geographically Weighted Regression
by: Lee, Hyunwoo, et al.
Published: (2025)
by: Lee, Hyunwoo, et al.
Published: (2025)
Dynamic factor analysis for sparse and irregular longitudinal data: an application to metabolite measurements in a COVID-19 study
by: Cai, Jiachen, et al.
Published: (2024)
by: Cai, Jiachen, et al.
Published: (2024)
Linking COPD Prevalence with Income Distribution: A Spatial Heterogeneous Compositional Regression via Geographically Weighted Penalized Approach
by: Deng, Jingwen, et al.
Published: (2026)
by: Deng, Jingwen, et al.
Published: (2026)
On Data Analysis Pipelines and Modular Bayesian Modeling
by: Lipman, Erin, et al.
Published: (2024)
by: Lipman, Erin, et al.
Published: (2024)
Bayesian Outcome Weighted Learning
by: Yazzourh, Sophia, et al.
Published: (2024)
by: Yazzourh, Sophia, et al.
Published: (2024)
Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression
by: Saddiki, Hachem, et al.
Published: (2025)
by: Saddiki, Hachem, et al.
Published: (2025)
A Bayesian Dirichlet Auto-Regressive Conditional Heteroskedasticity Model for Forecasting Currency Shares
by: Katz, Harrison, et al.
Published: (2025)
by: Katz, Harrison, et al.
Published: (2025)
Correlated Bayesian Additive Regression Trees with Gaussian Process for Regression Analysis of Dependent Data
by: a, Xuetao Lu, et al.
Published: (2023)
by: a, Xuetao Lu, et al.
Published: (2023)
Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories
by: Cai, Jiachen, et al.
Published: (2023)
by: Cai, Jiachen, et al.
Published: (2023)
A Heteroscedastic Bayesian Generalized Logistic Regression Model with Application to Scaling Problems
by: Sutton, Jack, et al.
Published: (2023)
by: Sutton, Jack, et al.
Published: (2023)
Local Bayesian Regression
by: Hjort, Nils Lid
Published: (2026)
by: Hjort, Nils Lid
Published: (2026)
Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025)
by: Katz, Harrison, et al.
Published: (2025)
A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates
by: Zhao, Christina, et al.
Published: (2024)
by: Zhao, Christina, et al.
Published: (2024)
A Framework of Zero-Inflated Bayesian Negative Binomial Regression Models For Spatiotemporal Data
by: He, Qing, et al.
Published: (2024)
by: He, Qing, et al.
Published: (2024)
Bayesian Latent Class Regression with Interpretable Binary Profiles
by: Zhou, Yuren, et al.
Published: (2025)
by: Zhou, Yuren, et al.
Published: (2025)
Combining Climate Models using Bayesian Regression Trees and Random Paths
by: Yannotty, John C., et al.
Published: (2024)
by: Yannotty, John C., et al.
Published: (2024)
A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
by: Katz, Harrison, et al.
Published: (2023)
by: Katz, Harrison, et al.
Published: (2023)
Bayesian Elastic Net Regression with Structured Prior Dependence
by: Hans, Christopher M., et al.
Published: (2025)
by: Hans, Christopher M., et al.
Published: (2025)
Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
by: Zorzetto, Dafne, et al.
Published: (2025)
by: Zorzetto, Dafne, et al.
Published: (2025)
Bayesian Environment Invariant Regression
by: Zhang, Ruqian, et al.
Published: (2026)
by: Zhang, Ruqian, et al.
Published: (2026)
Joining and splitting models with Markov melding
by: Goudie, Robert J. B., et al.
Published: (2016)
by: Goudie, Robert J. B., et al.
Published: (2016)
Weighted Regression with Sybil Networks
by: Shah, Nihar
Published: (2024)
by: Shah, Nihar
Published: (2024)
Robust Mendelian Randomization Estimation using Weighted Quantile Regression
by: St-Pierre, Julien, et al.
Published: (2026)
by: St-Pierre, Julien, et al.
Published: (2026)
Probability Weighted Clustered Coefficients Regression Models in Complex Survey Sampling
by: Gang, Mingjun, et al.
Published: (2022)
by: Gang, Mingjun, et al.
Published: (2022)
Total robustness in Bayesian Nonlinear Regression
by: Chen, Mengqi, et al.
Published: (2025)
by: Chen, Mengqi, et al.
Published: (2025)
Double Robust Weighted Regression with Missing Confounders
by: Bagmar, Md. Shaddam Hossain, et al.
Published: (2026)
by: Bagmar, Md. Shaddam Hossain, et al.
Published: (2026)
Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
Bayesian Bridge Gaussian Process Regression
by: Xu, Minshen, et al.
Published: (2025)
by: Xu, Minshen, et al.
Published: (2025)
Generalized Bayesian Additive Regression Trees for Restricted Mean Survival Time Inference
by: Ashouri, Mahsa, et al.
Published: (2024)
by: Ashouri, Mahsa, et al.
Published: (2024)
Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
by: Kock, Lucas, et al.
Published: (2026)
by: Kock, Lucas, et al.
Published: (2026)
Bayesian Nonparametric Modeling for Multivariate Conditional Copula Regression with Varying Coefficients
by: Jeong, Yujin, et al.
Published: (2026)
by: Jeong, Yujin, et al.
Published: (2026)
Similar Items
-
A General Framework for Cutting Feedback within Modularised Bayesian Inference
by: Liu, Yang, et al.
Published: (2022) -
Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
by: Liu, Yang, et al.
Published: (2020) -
Combining chains of Bayesian models with Markov melding
by: Manderson, Andrew A., et al.
Published: (2021) -
Bayesian Geographically Weighted Regression using Fused Lasso Prior
by: Sakai, Toshiki, et al.
Published: (2024) -
A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses
by: Pitt, Matilda, et al.
Published: (2026)