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$160.00 In stock
This book covers the recent advancements in time series forecasting. The book includes theoretical as well as recent applications of time series analysis.
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$49.00
This e-book is a valuable resource for students, statisticians and working professionals interested in advanced time series analysis.
Jan 29, 2024 · Discussion: I think this paper takes a interesting angle for the time series forecasting and a refreshing break from the normal methods. Years ...
Apr 20, 2023 · Deep learning has shown promise in time-series forecasting, outperforming traditional statistical methods, especially for large multivariate ...
Jan 9, 2023 · Advances in Deep Learning for Time Series Forecasting and Classification: Winter 2023 Edition · Autoformer · Fedformer: · Non-Stationary ...
Apr 4, 2023 · Time series analysis is widely used in finance and economics for forecasting future market trends and identifying potential investment ...
Abstract. Recent advances in time series forecasting and anomaly detection have been attributed to the growing popularity of deep learning approaches.
This special issue aims to bring together the latest advances, innovations, and research in the field of time series forecasting. We invite researchers ...
Jul 16, 2024 · Fast and accurate forecasting of new data — without training ... Recent advances in foundation time-series models are groundbreaking. TimeGPT was ...
Feb 4, 2024 · I wrote a literature review on recent literature applying deep learning to time series forecasting in 2024. I examine recent advances such as