Cover Image

A Bayesian Network Method for Deaggregation: Identification of Tropical Cyclones Driving Coastal Hazards

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Ziyue, Carr, Meredith L., Nadal-Caraballo, Norberto C., Yawn, Madison C., Bensi, Michelle T.
Format:	Preprint
Published:	2025
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Multi-Tiered Bayesian Network Coastal Compound Flood Analysis Framework
by: Liu, Ziyue, et al.
Published: (2025)

Developing Experimental Probabilistic Intensity Forecast Products for Landfalling Tropical Cyclones
by: Robert Eicher, et al.
Published: (2025)

Bangladesh's Amplified Coastal Storm Tide Hazard from Tropical Cyclones and Rising Sea Levels in a Warming Climate
by: Qiu, Jiangchao, et al.
Published: (2023)

Assessing the Risks of Typhoon-Induced Multi-Hazards in South Korea
by: Liu, Ziyue, et al.
Published: (2025)

Spatial Analysis of Tropical Cyclone Precipitation Through Landfall: A Multi‐Basin Perspective
by: Samrin Sumaiya Sauda, et al.
Published: (2026)

AI‐Based Tropical Cyclone Rainfall Forecasting in the Philippines Using Machine Learning
by: Cris Gino Mesias, et al.
Published: (2025)

U.S. Port Disruptions under Tropical Cyclones: Resilience Analysis by Harnessing Multiple-Source Dataset
by: Kuai, Chenchen, et al.
Published: (2025)

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

Evaluating Monthly Tropical Cyclone Forecasts Through the Lens of Track Clustering Over the Southwest Indian Ocean
by: Adrien Colomb, et al.
Published: (2025)

Correction to “Tropical Cyclones Across Global Basins: Dynamics, Tracking Algorithms, Forecasting, and Emerging Scientometric Research Trends”
Published: (2025)

Observational Study on the District‐Scale Characteristics of Local Precipitation and Extreme Wind From the Tropical Cyclones Affecting Shanghai
by: Zhihui Han, et al.
Published: (2026)

Correction to “Understanding the Role of Antecedent Land Conditions on Rapid Intensity Changes in Landfalling Tropical Cyclones Over the Bay of Bengal”
Published: (2026)

Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data
by: Lehmann, Nils, et al.
Published: (2024)

Predicting Tropical Cyclone Extreme Rainfall in Guangxi, China: An Interpretable Machine Learning Framework Addressing Class Imbalance and Feature Optimization
by: Yuexing Cai, et al.
Published: (2025)

The Indian Ocean–Land–Atmosphere ( IOLA )‐Coupled Mesoscale Prediction Framework for Inland Severe Weather and Coastal Hazards Forecasting
by: Sundararaman Gopalakrishnan, et al.
Published: (2026)

Bayesian Inference General Procedures for A Single-subject Test Study
by: Li, Jie, et al.
Published: (2024)

A Convolutional Neural Network-based Ensemble Post-processing with Data Augmentation for Tropical Cyclone Precipitation Forecasts
by: Chen, Sing-Wen, et al.
Published: (2024)

A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
by: Nakamura, Jennifer, et al.
Published: (2026)

Stationary Proportional Hazard Processes via Complementary Power Function Distribution Processes
by: Arnold, Barry C., et al.
Published: (2024)

Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows
by: Li, Xuechun, et al.
Published: (2025)

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

Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data
by: Gee, Kenneth, et al.
Published: (2026)

Functional Time Series Forecasting of Distributions: A Koopman-Wasserstein Approach
by: Wang, Ziyue, et al.
Published: (2025)

Migratory Euryhaline Fishes Connect Food Webs From Coastal Wetlands to Tropical Rainforests in the Usumacinta River, Mexico
by: Allison A. Pease, et al.
Published: (2025)

Hazard and Beyond: Exploring Five Distributional Representations of Accelerometry Data for Disability Discrimination in Multiple Sclerosis
by: Niyogi, Pratim Guha, et al.
Published: (2024)

A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject fMRI activation patterns
by: Miranda, Michelle F.
Published: (2024)

Bayesian Inference of Multiple Ising Models for Heterogeneous Public Opinion Survey Networks
by: Avalos-Pacheco, Alejandra, et al.
Published: (2024)

Identification of spatio‐temporal patterns in extreme rainfall events in the Tropical Andes: A clustering analysis approach
by: Gabriela Urgilés, et al.
Published: (2024)

Bayesian Subspace Identification in the MIMO Case
by: Mesquita, Alexandre Rodrigues
Published: (2025)

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)

Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)

Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behaviour
by: Chan, Ian Weng, et al.
Published: (2023)

SIMBA -- A Bayesian Decision Framework for the Identification of Optimal Biomarker Subgroups for Cancer Basket Clinical Trials
by: Yuan, Shijie, et al.
Published: (2025)

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

Bayesian Hierarchical Methods for Surveillance of Cervical Dystonia Treatments
by: Baidoo, D., et al.
Published: (2025)

Phase Transitions in Collective Damage of Civil Structures under Natural Hazards
by: Oh, Sebin, et al.
Published: (2026)

A Profit-Based Measure of Lending Discrimination
by: Coots, Madison, et al.
Published: (2025)

Bayesian modeling of insurance claims for hail damage
by: Miralles, Ophélia, et al.
Published: (2023)

Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)