readme.gnm.txt
Creators:
Stefano Grassi
;
Nima Nonejad
;
Paolo Santucci de Magistris
From the dataset abstract
We propose and study the finite-sample properties of a modified version of the self-perturbed Kalman filter of Park and Jun (Electronics Letters 1992; 28: 558-559) for the online...
Source: Forecasting With the Standardized Self‐Perturbed Kalman Filter (replication data)
Metadata
| Field | Value |
|---|---|
| Format | text/plain |
| License | CC-BY 4.0 |
| URL | https://jda-test.zbw.eu/dataset/307b3390-020a-4ab3-af2a-b340699ef516/resource/e8affc5f-6661-4c04-be51-a5645d7c8639/download/readme.gnm.txt |
| Last updated | November 8, 2022 |
| Created | November 8, 2022 |
