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pro vyhledávání: '"Davis, Richard"'
Autor:
Davis, Richard A., Fernandes, Leon
A fundamental and often final step in time series modeling is to assess the quality of fit of a proposed model to the data. Since the underlying distribution of the innovations that generate a model is often not prescribed, goodness-of-fit tests typi
Externí odkaz:
http://arxiv.org/abs/2403.07158
Autor:
Neshaei, Seyed Parsa, Davis, Richard Lee, Hazimeh, Adam, Lazarevski, Bojan, Dillenbourg, Pierre, Käser, Tanja
Recent work exploring the capabilities of pre-trained large language models (LLMs) has demonstrated their ability to act as general pattern machines by completing complex token sequences representing a wide array of tasks, including time-series predi
Externí odkaz:
http://arxiv.org/abs/2403.14661