Cover Image

3D Bivariate Spatial Modelling of Argo Ocean Temperature and Salinity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Salvana, Mary Lai, Cao, Jian, Jun, Mikyoung
Format:	Preprint
Published:	2022
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predicting Power Grid Failures Using Self-Organized Criticality: A Case Study of the Texas Grid 2014-2022
by: Salvaña, Mary Lai O., et al.
Published: (2025)

A Self-Organized Criticality Model of Extreme Events and Cascading Disasters of Hub and Spoke Air Traffic Networks
by: Salvaña, Mary Lai O., et al.
Published: (2025)

Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data
by: Saduakhas, Damilya, et al.
Published: (2025)

Bayesian Multilevel Bivariate Spatial Modelling of Italian School Data
by: Cefalo, Leonardo, et al.
Published: (2024)

Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
by: Zhou, Shijie, et al.
Published: (2023)

Bivariate Postprocessing of Wind Vectors
by: Buchner, Ferdinand, et al.
Published: (2026)

A functional regression model for heterogeneous BioGeoChemical Argo data in the Southern Ocean
by: Korte-Stapff, Moritz, et al.
Published: (2022)

Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
by: Florez, Mauro, et al.
Published: (2024)

Multi-Hazard Bayesian Hierarchical Model for Damage Prediction
by: Salvaña, Mary Lai O.
Published: (2025)

Swap Regression Methodology for Predicting Relationship with Historical Bivariate Data
by: Chitlangia, Viral, et al.
Published: (2025)

Multi-resolution Spatial Graphical Regression Models for Hierarchical Spatial Transcriptomics Data
by: Chen, Liying, et al.
Published: (2026)

Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization
by: Li, Yezhuo, et al.
Published: (2025)

Spatially Structured Regression for Non-conformable Spaces: Integrating Pathology Imaging and Genomics Data in Cancer
by: Osher, Nathaniel, et al.
Published: (2024)

Multivariate Spatio-Temporal Neural Hawkes Processes
by: Chukwuemeka, Christopher, et al.
Published: (2026)

Statistical Performance of Generalized Direction Detectors with Known Spatial Steering Vector
by: Xu, Zhenyu, et al.
Published: (2025)

What Influences the Field Goal Attempts of Professional Players? Analysis of Basketball Shot Charts via Log Gaussian Cox Processes with Spatially Varying Coefficients
by: Cao, Jiahao, et al.
Published: (2025)

Discovering Spatial Patterns of Readmission Risk Using a Bayesian Competing Risks Model with Spatially Varying Coefficients
by: Shen, Yueming, et al.
Published: (2025)

AI-driven 3D Spatial Transcriptomics
by: Almagro-Pérez, Cristina, et al.
Published: (2025)

Modelling the Spatially Varying Non-Linear Effects of Heat Exposure
by: Chen, Xinyi, et al.
Published: (2025)

Spatially Varying Coefficient Models for Estimating Heterogeneous Mixture Effects
by: Englert, Jacob, et al.
Published: (2025)

Clustering Methods for Identifying and Modelling Areas with Similar Temperature Variations
by: Otranto, Edoardo
Published: (2026)

Bayesian Modeling of Long-Term Dynamics in Indian Temperature Extremes
by: Chakraborty, Chitradipa
Published: (2025)

Concrete structure assembly technology based on 3D intelligent image analysis
by: Limei Cao, et al.
Published: (2024)

Understanding Electric Vehicle Ownership Using Data Fusion and Spatial Modeling
by: Meiyu, et al.
Published: (2024)

Detecting Outbreaks Using a Latent Field: Part I -- Spatial Modeling
by: Safta, Cosmin, et al.
Published: (2024)

Joint Modeling of Spatial Dependencies Across Multiple Subjects in Multiplexed Tissue Imaging
by: Eliason, Joel, et al.
Published: (2025)

Spatial Extremes at Scale: A Case Study of Surface Skin Temperature and Heat Risk in the United States
by: Lee, Ben Seiyon, et al.
Published: (2026)

Time Series based Ensemble Model Output Statistics for Temperature Forecasts Postprocessing
by: Jobst, David, et al.
Published: (2024)

Spatial Process Mining
by: Yoshizawa, Shintaro, et al.
Published: (2025)

svc: An R package for Spatially Varying Coefficient Models
by: Akuoko-Frimpong, Justice, et al.
Published: (2025)

Sparse Reduced-rank Regression Methods for Spatially Misaligned Data with Application to Spatial Transcriptomics
by: Wu, Zitian, et al.
Published: (2026)

3D-SONAR: Self-Organizing Network for 3D Anomaly Ranking
by: Xu, Guodong, et al.
Published: (2026)

Estimating Causal Attribution of Anthropogenic Forcing on High-Temperature Extremes Using a Latent Gaussian Spatial Model
by: Giri, Ritik Roshan, et al.
Published: (2026)

Spatial Hyperspheric Models for Compositional Data
by: Schwob, Michael R., et al.
Published: (2024)

BaySC: Uncovering Tissue Architecture in Spatial Multi-Omics via Probabilistic Spatial Clustering
by: Li, Xin, et al.
Published: (2026)

Modeling the Spatial Distributions of Macro Base Stations with Homogeneous Density: Theory and Application to Real Networks
by: Gontier, Q., et al.
Published: (2024)

Kriging Methods for Modelling Spatial Basis Risk in Weather Index Insurances: A Technical Note
by: Guo, Yiping, et al.
Published: (2023)

Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
by: Lee, Jooyeon, et al.
Published: (2025)

Thinning-Stable Point Processes as a Model for Spatial Burstiness
by: Zuyev, Sergei
Published: (2025)

Latent Spatial Heterogeneity in U.S. Cancer Mortality: A Multi-Site Clustering and Spatial Autocorrelation Analysis
by: Kubuafor, E., et al.
Published: (2025)