Name
Abstract | ||
|---|---|---|
In this work, we build a new time series state space model based on inverted Dirichlet distribution. We use the power steady modeling approach and we derive an analytical expression of the model latent variable using the maximum a posteriori technique. We also approximate the predictive density using local variational inference, and we validate our model on the electricity consumption time series ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISIE45552.2021.9576224 | 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) |
Keywords | DocType | ISSN |
Industrial electronics,Analytical models,Data analysis,Time series analysis,Predictive models,Aerospace electronics,Market research | Conference | 2163-5137 |
ISBN | Citations | PageRank |
978-1-7281-9023-5 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar Graja | 1 | 0 | 0.34 |
| Fatma Najar | 2 | 1 | 3.39 |
| Manar Amayri | 3 | 0 | 4.39 |
| Nizar Bouguila | 4 | 1539 | 146.09 |