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Handling Time in Environmental Studies

Organiser

Participants

Autoregressive moving average model based on the Reflect Unit Burr XII distribution: Theory and applications in hydroelectric energy forecasting

Carina Brunehilde Pinto da Silva (Presenter/Speaker)

Longitudinal data under antedependence model with applications to environmental sciences

Larissa Avila Matos (Presenter/Speaker)

Censored autoregressive regression models with Student-t innovations and their application in river water quality assessment

Dr Agatha Sacrament Rodrigues (Presenter/Speaker)

Spatio-temporal survival analysis: Application to environmental data

Bruna Palm (Presenter/Speaker)

Zero-inflated Rayleigh dynamical for SAR imagery and hydrological data modeling

Conference

65th ISI World Statistics Congress 2025 | The Hague

Category: Women in Statistics

Proposal Description

The analysis of environmental data often presents challenges, including limited detection thresholds, missing data, image analysis, restricted measurement domains, outliers, autocorrelation, and spatial correlation. This section aims to present and illustrate modern solutions for such problems, focusing on temporal-dependent environmental data. Through theoretical discussions, methodological proposals, and case studies, the section will provide valuable perspectives for researchers in environmental science, ecology, climate studies, and related fields. It aims to provide tools for modeling complex environmental processes and dynamics by effectively leveraging temporal data analysis techniques under a variety of scenarios.