Abstract: The macro-level indicators, including Gross Domestic Product (GDP), inflation, and employment, cannot be explained without economic time series decomposition. SARIMA models provide an ...

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Abstract: Time series generation focuses on modeling the underlying data distribution and resampling to produce authentic time series data. Key components, such as trend and seasonality, drive ...

├── src/ # Source code modules │ ├── data_utils.py # Data loading and generation utilities │ ├── models.py # Time series analysis models │ ├── visualization.py # Plotting and visualization functions │ ...

In this paper, we propose a novel method for decomposing time series data using conformal prediction and component-wise exchangeability. This README provides instructions on how to run the code and ...