Bayesian Semi-Parametric Spatial Dispersed Count Model for Precipitation Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Nadifar, Mahsa, Bekker, Andriette, Arashi, Mohammad, Ramoelo, Abel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Contaminated Model for Overdispersed Multinomial Microbiome Count Data
by: van Heerden, Ockert, et al.
Published: (2026)
by: van Heerden, Ockert, et al.
Published: (2026)
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
by: O'Riordan, Michael, et al.
Published: (2025)
by: O'Riordan, Michael, et al.
Published: (2025)
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models
by: Bockting, Florence, et al.
Published: (2023)
by: Bockting, Florence, et al.
Published: (2023)
Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
by: Cheng, Si, et al.
Published: (2023)
by: Cheng, Si, et al.
Published: (2023)
Type I multivariate Pólya-Aeppli distributions with applications
by: Geldenhuys, Claire, et al.
Published: (2024)
by: Geldenhuys, Claire, et al.
Published: (2024)
Modeling Bounded Count Environmental Data Using a Contaminated Beta-Binomial Regression Model
by: Otto, Arnoldus F., et al.
Published: (2025)
by: Otto, Arnoldus F., et al.
Published: (2025)
Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data
by: Yu, Jin-Zhu, et al.
Published: (2022)
by: Yu, Jin-Zhu, et al.
Published: (2022)
Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference
by: Niven, Robert K., et al.
Published: (2024)
by: Niven, Robert K., et al.
Published: (2024)
Bayesian Spatial Predictive Synthesis
by: Cabel, Danielle, et al.
Published: (2022)
by: Cabel, Danielle, et al.
Published: (2022)
Mean regression for (0,1) responses via beta scale mixtures
by: Otto, Arno, et al.
Published: (2026)
by: Otto, Arno, et al.
Published: (2026)
Semiparametric Mixed-effects Model for Longitudinal Data with Non-normal Errors
by: Taavoni, Mozhgan, et al.
Published: (2022)
by: Taavoni, Mozhgan, et al.
Published: (2022)
Clustering data with values missing at random using scale mixtures of multivariate skew-normal distributions
by: Pillay, Jason, et al.
Published: (2025)
by: Pillay, Jason, et al.
Published: (2025)
Sleep pattern profiling using a finite mixture of contaminated multivariate skew-normal distributions on incomplete data
by: Pillay, Jason, et al.
Published: (2025)
by: Pillay, Jason, et al.
Published: (2025)
Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
by: Tian, Ye, et al.
Published: (2024)
by: Tian, Ye, et al.
Published: (2024)
Identification of Average Causal Effects in Confounded Additive Noise Models
by: Elahi, Muhammad Qasim, et al.
Published: (2024)
by: Elahi, Muhammad Qasim, et al.
Published: (2024)
Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes
by: Wu, Bohan, et al.
Published: (2024)
by: Wu, Bohan, et al.
Published: (2024)
Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
by: Jiang, Yicong, et al.
Published: (2025)
by: Jiang, Yicong, et al.
Published: (2025)
Bayesian Semi-supervised Inference via a Debiased Modeling Approach
by: Sert, Gözde, et al.
Published: (2025)
by: Sert, Gözde, et al.
Published: (2025)
Adaptive Bayesian Structure Learning of DAGs With Non-conjugate Prior
by: Nazari, S., et al.
Published: (2024)
by: Nazari, S., et al.
Published: (2024)
Mixtures of multivariate linear asymmetric Laplace regressions with multiple asymmetric Laplace covariates
by: Otto, Arnoldus F., et al.
Published: (2025)
by: Otto, Arnoldus F., et al.
Published: (2025)
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
by: Sandler, Adam, et al.
Published: (2019)
by: Sandler, Adam, et al.
Published: (2019)
Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models
by: Porwal, Anupreet, et al.
Published: (2024)
by: Porwal, Anupreet, et al.
Published: (2024)
Federated Variational Inference for Bayesian Mixture Models
by: Rao, Jackie, et al.
Published: (2025)
by: Rao, Jackie, et al.
Published: (2025)
Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
by: Banerjee, Sudipto, et al.
Published: (2022)
by: Banerjee, Sudipto, et al.
Published: (2022)
Independent Component Discovery in Temporal Count Data
by: Chaussard, Alexandre, et al.
Published: (2026)
by: Chaussard, Alexandre, et al.
Published: (2026)
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
by: Lamprinakou, Stamatina, et al.
Published: (2025)
by: Lamprinakou, Stamatina, et al.
Published: (2025)
Choice of Scoring Rules for Indirect Elicitation of Properties with Parametric Assumptions
by: Hu, Lingfang, et al.
Published: (2025)
by: Hu, Lingfang, et al.
Published: (2025)
Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery
by: Waxman, Daniel, et al.
Published: (2024)
by: Waxman, Daniel, et al.
Published: (2024)
Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables
by: Sheth, Ivaxi, et al.
Published: (2024)
by: Sheth, Ivaxi, et al.
Published: (2024)
Spatial Covariance Constraints for Gaussian Mixture Models
by: Lu, Hanzhang, et al.
Published: (2026)
by: Lu, Hanzhang, et al.
Published: (2026)
Bayesian Data Sketching for Varying Coefficient Regression Models
by: Guhaniyogi, Rajarshi, et al.
Published: (2025)
by: Guhaniyogi, Rajarshi, et al.
Published: (2025)
Forests for Differences: Robust Causal Inference Beyond Parametric DiD
by: Souto, Hugo Gobato, et al.
Published: (2025)
by: Souto, Hugo Gobato, et al.
Published: (2025)
Graph Topic Modeling for Documents with Spatial or Covariate Dependencies
by: Jung, Yeo Jin, et al.
Published: (2024)
by: Jung, Yeo Jin, et al.
Published: (2024)
Bayesian Event-Based Model for Disease Subtype and Stage Inference
by: Hao, Hongtao, et al.
Published: (2025)
by: Hao, Hongtao, et al.
Published: (2025)
Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
Semi-supervised learning for linear extremile regression
by: Jiang, Rong, et al.
Published: (2025)
by: Jiang, Rong, et al.
Published: (2025)
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra
by: Wakayama, Tomoya, et al.
Published: (2023)
by: Wakayama, Tomoya, et al.
Published: (2023)
Modeling Nonstationary Extremal Dependence via Deep Spatial Deformations
by: Shao, Xuanjie, et al.
Published: (2025)
by: Shao, Xuanjie, et al.
Published: (2025)
Gradient Boosting for Spatial Panel Models with Random and Fixed Effects
by: Balzer, Michael, et al.
Published: (2026)
by: Balzer, Michael, et al.
Published: (2026)
Bayesian Federated Inference for Survival Models
by: Pazira, Hassan, et al.
Published: (2024)
by: Pazira, Hassan, et al.
Published: (2024)
Similar Items
-
A Contaminated Model for Overdispersed Multinomial Microbiome Count Data
by: van Heerden, Ockert, et al.
Published: (2026) -
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
by: O'Riordan, Michael, et al.
Published: (2025) -
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models
by: Bockting, Florence, et al.
Published: (2023) -
Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
by: Cheng, Si, et al.
Published: (2023) -
Type I multivariate Pólya-Aeppli distributions with applications
by: Geldenhuys, Claire, et al.
Published: (2024)