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20242026
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stat.AP2026

Comparative Analysis of Spatiotemporal Volatility Models: An Empirical Study on Financial Network Series

Ariane N. Meli Chrisko, Jessie Li, Philipp Otto +1

Various spatiotemporal and network GARCH models have recently been proposed to capture volatility interactions, such as the transmission of market risk across financial networks. T…

stat.AP2025

Exponential Spatiotemporal GARCH Model with Asymmetric Volatility Spillovers

Ariane Nidelle Meli Chrisko, Philipp Otto, Wolfgang Schmid

This paper introduces a spatiotemporal exponential generalised autoregressive conditional heteroscedasticity (spatiotemporal E-GARCH) model, extending traditional spatiotemporal GA…

stat.AP2025

A Bayesian Spatio-Temporal Model of Temperature- and Humidity-Related Mortality Using High-Resolution Climate Data

Corinna Perchtold, Julia Eisenberg, Philipp Otto

In this study, we introduce a novel and comprehensive extension of a Bayesian spatio-temporal disease mapping model that explicitly accounts for gender-specific effects of meteorol…

stat.AP2024

Simple yet effective: a comparative study of statistical models for yearly hurricane forecasting

Pietro Colombo, Raffaele Mattera, Philipp Otto

In this paper, we study the problem of forecasting the next year's number of Atlantic hurricanes, which is relevant in many fields of applications such as land-use planning, hazard…

stat.AP2024

Multidimensional spatiotemporal clustering -- An application to environmental sustainability scores in Europe

Caterina Morelli, Simone Boccaletti, Paolo Maranzano +1

The assessment of corporate sustainability performance is extremely relevant in facilitating the transition to a green and low-carbon intensity economy. However, companies located…