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Published in 2020 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2020.07.035
Abstract: Abstract Indices of financial returns typically display sample kurtosis that declines towards the Gaussian value 3 as the sampling interval increases. This paper uses stochastic unit root (STUR) and continuous time analysis to explain the…
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Keywords:
kurtosis;
financial indices;
temporal aggregation;
continuous time ... See more keywords
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Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2958083
Abstract: Video inpainting aims to fill in spatio-temporal holes in videos with plausible content. Despite tremendous progress on deep learning-based inpainting of a single image, it is still challenging to extend these methods to video domain…
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Keywords:
video;
deep video;
recurrent temporal;
video inpainting ... See more keywords
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Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0209075
Abstract: Social networks have become ubiquitous in modern society, which makes social network monitoring a research area of significant practical importance. Social network data consist of social interactions between pairs of individuals that are temporally aggregated…
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Keywords:
aggregation;
social network;
network;
network monitoring ... See more keywords
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Published in 2023 at "Algorithms"
DOI: 10.3390/a16040206
Abstract: We present a machine learning approach for applying (multiple) temporal aggregation in time series forecasting settings. The method utilizes a classification model that can be used to either select the most appropriate temporal aggregation level…
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Keywords:
series;
meta;
temporal aggregation;
time series ... See more keywords