activity
20162026
most citedGeneralized Spatial and Spatiotemporal Autoregressive Conditional Heteroscedasticity

45 citations · 260 across the 33 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

stat.ME2022★ 8 cited

A Dynamic Spatiotemporal Stochastic Volatility Model with an Application to Environmental Risks

Philipp Otto, Osman Doğan, Süleyman Taşpınar

This article introduces a dynamic spatiotemporal stochastic volatility (SV) model with explicit terms for the spatial, temporal, and spatiotemporal spillover effects. Moreover, the…

stat.AP2022★ 37 cited

Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy

Alessandro Fassò, Jacopo Rodeschini, Alessandro Fusta Moro +7

The air in the Lombardy region, Italy, is one of the most polluted in Europe because of limited air circulation and high emission levels. There is a large scientific consensus that…

stat.ME2022★ 17 cited

Statistical process monitoring of artificial neural networks

Anna Malinovskaya, Pavlo Mozharovskyi, Philipp Otto

The rapid advancement of models based on artificial intelligence demands innovative monitoring techniques which can operate in real time with low computational costs. In machine le…

stat.ME2022★ 22 cited

Adaptive LASSO estimation for functional hidden dynamic geostatistical model

Paolo Maranzano, Philipp Otto, Alessandro Fassò

We propose a novel model selection algorithm based on a penalized maximum likelihood estimator (PMLE) for functional hidden dynamic geostatistical models (f-HDGM). These models emp…

stat.ME2022

A Multivariate Spatial and Spatiotemporal ARCH Model

Philipp Otto

This paper introduces a multivariate spatiotemporal autoregressive conditional heteroscedasticity (ARCH) model based on a vec-representation. The model includes instantaneous spati…

stat.ME2022★ 10 cited

Dynamic Spatiotemporal ARCH Models

Philipp Otto, Osman Doğan, Süleyman Taşpınar

Geo-referenced data are characterized by an inherent spatial dependence due to the geographical proximity. In this paper, we introduce a dynamic spatiotemporal autoregressive condi…