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Found 5 papers, 0 papers with code
Spatial and Spatiotemporal Volatility Models: A Review
In this paper, we aim to provide a comprehensive review of the recent literature on spatial and spatiotemporal volatility models.
Statistical process monitoring of artificial neural networks
The rapid advancement of models based on artificial intelligence demands innovative monitoring techniques which can operate in real time with low computational costs.
Adaptive LASSO estimation for functional hidden dynamic geostatistical model
We propose a novel model selection algorithm based on a penalized maximum likelihood estimator (PMLE) for functional hidden dynamic geostatistical models (f-HDGM).
Statistical learning for change point and anomaly detection in graphs
Complex systems which can be represented in the form of static and dynamic graphs arise in different fields, e. g. communication, engineering and industry.
Estimation of the spatial weighting matrix for regular lattice data -- An adaptive lasso approach with cross-sectional resampling
Spatial econometric research typically relies on the assumption that the spatial dependence structure is known in advance and is represented by a deterministic spatial weights matrix.
