Cover Image

A Convolution Process for Sea Surface Temperature Hot-Spot Identification in the Mediterranean Sea

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Marchesin, Leonardo, Menafoglio, Alessandra, Secchi, Piercesare
Format:	Preprint
Published:	2026
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Three Distributional Approaches for PM10 Assessment in Northern Italy
by: De Sanctis, Marco F., et al.
Published: (2025)

Fixed Rank co-Kriging: a model for multivariate spatial prediction
by: Caringi, Gaia, et al.
Published: (2026)

Day-Ahead Electricity Price Forecasting Using Merit-Order Curves Time Series
by: Koechlin, Guillaume, et al.
Published: (2025)

Functional Data Representation with Merge Trees
by: Pegoraro, Matteo, et al.
Published: (2021)

Coordinated Trading Strategies for Battery Storage in Reserve and Spot Markets
by: Seifert, Paul E., et al.
Published: (2024)

Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
by: Menacher, Anna, et al.
Published: (2024)

Spatial Deep Convolutional Neural Networks
by: Wang, Qi, et al.
Published: (2024)

A New Approach to Radiocarbon Summarisation: Rigorous Identification of Variations/Changepoints in the Occurrence Rate of Radiocarbon Samples using a Poisson Process
by: Heaton, Timothy J, et al.
Published: (2025)

Addressing Outcome Reporting Bias in Meta-analysis: A Selection Model Perspective
by: Saracini, Alessandra Gaia, et al.
Published: (2024)

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)

Imputation of Nonignorable Missing Data in Surveys Using Auxiliary Margins Via Hot Deck and Sequential Imputation
by: Yang, Yanjiao, et al.
Published: (2024)

Identification of changes in gene expression
by: Ameis, Lucia, et al.
Published: (2024)

E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
by: Panja, Madhurima, et al.
Published: (2024)

A warning system for risk prediction of metabolic syndrome in a healthy population of blood donors
by: Colombara, Simone, et al.
Published: (2026)

Bayesian Source Apportionment of Spatio-temporal air pollution data
by: Frigeri, Michela, et al.
Published: (2025)

Nonparametric estimation of the Patient Weighted While-Alive Estimand
by: Ragni, Alessandra, et al.
Published: (2024)

Spatial vertical regression for spatial panel data: Evaluating the effect of the Florentine tramway's first line on commercial vitality
by: Grossi, Giulio, et al.
Published: (2025)

Bayesian principal stratification with longitudinal data and truncation by death
by: Grossi, Giulio, et al.
Published: (2023)

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

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

NIRVAR: Network Informed Restricted Vector Autoregression
by: Martin, Brendan, et al.
Published: (2024)

Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025)

Principal stratification with continuous treatments and continuous post-treatment variables
by: Antonelli, Joseph, et al.
Published: (2023)

Practical Process Capability Indices Workflows
by: Jiang, Fei, et al.
Published: (2026)

Gaussian Process with dissolution spline kernel
by: Murphy, Fiona, et al.
Published: (2024)

Confirmatory Biomarker Identification with k-FWER Control Using Derandomized Knockoffs with Cox Regression
by: Liu, Rui, et al.
Published: (2025)

Robust Inferential Methodology for Multidimensional Diffusion Processes
by: Barick, Sourojyoti
Published: (2026)

Bayesian Mixed Multidimensional Scaling for Auditory Processing
by: Rebaudo, Giovanni, et al.
Published: (2022)

RISE: Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers Applied to Vaccinology
by: Hughes, Arthur, et al.
Published: (2025)

A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
by: Chen, Yunxiao
Published: (2019)

Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation
by: Ballerini, Veronica, et al.
Published: (2023)

Risk-Calibrated Process Capability Approval with Finite Samples
by: Jiang, Fei, et al.
Published: (2026)

Prior selection for the precision parameter of Dirichlet Process Mixtures
by: Vicentini, Carlo, et al.
Published: (2025)

A Bayesian Discrete Framework for Enhancing Decision-Making Processes in Clinical Trial Designs and Evaluations
by: Pramanik, Paramahansa, et al.
Published: (2026)

Bayesian weighted discrete-time dynamic models for association football prediction
by: Macrì-Demartino, Roberto, et al.
Published: (2025)

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

Modeling Event Dynamics by Self-Exciting Processes with Random Memory
by: Peng, K. Ken, et al.
Published: (2026)

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

Local Indicators of Mark Association for Spatial Marked Point Processes
by: Eckardt, Matthias, et al.
Published: (2024)

Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
by: Dimitriou, Evangelos, et al.
Published: (2024)