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Integrating graph neural networks and LSTM for path optimization in smart port multi-modal systems. [PDF]
He J, Chen W, Sun J, Zhu L.
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Dynamic Modeling with Intensive Longitudinal Data: One-Step and Two-Step DSEM Approaches. [PDF]
Wang L, Fang Y, Bergeman CS.
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Dynamic Seasonality in Time Series
SSRN Electronic Journal, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
So, Mike Ka Pui, Chung, Ray S. W.
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Time Series and Dynamic Models
Journal of the American Statistical Association, 1998Preface 1. Introduction Part I. Traditional Methods: 2. Linear regression for seasonal adjustment 3. Moving averages for seasonal adjustment 4. Exponential smoothing methods Part II. Probabilistic and Statistical Properties of Stationary Processes: 5. Some results on the univariate processes 6. The Box and Jenkins method for forecasting 7. Multivariate
Errol Caby +2 more
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