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Found 3 papers, 2 papers with code
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning
In this article, we propose a nonparametric test for the Markov property in high-dimensional time series via deep conditional generative learning.
Modelling matrix time series via a tensor CP-decomposition
We consider to model matrix time series based on a tensor CP-decomposition.
Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression
When applying to one day ahead forecasting for the French daily electricity load curves, PPC outperform several state-of-the-art predictive methods in terms of forecasting accuracy, coverage rate and average length of the predictive bands.
Methodology Applications
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