View: |
Part 1: Document Description
|
Citation |
|
---|---|
Title: |
Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material |
Identification Number: |
doi:10.18419/darus-3845 |
Distributor: |
DaRUS |
Date of Distribution: |
2024-03-13 |
Version: |
1 |
Bibliographic Citation: |
Krake, Tim; Klötzl, Daniel; Hägele, David; Weiskopf, Daniel, 2024, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material", https://doi.org/10.18419/darus-3845, DaRUS, V1 |
Citation |
|
Title: |
Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material |
Identification Number: |
doi:10.18419/darus-3845 |
Authoring Entity: |
Krake, Tim (Universität Stuttgart) |
Klötzl, Daniel (Universität Stuttgart) |
|
Hägele, David (Universität Stuttgart) |
|
Weiskopf, Daniel (Universität Stuttgart) |
|
Grant Number: |
251654672 |
Grant Number: |
270852890 - GRK 2160/2 |
Distributor: |
DaRUS |
Access Authority: |
Krake, Tim |
Access Authority: |
Weiskopf, Daniel |
Depositor: |
Krake, Tim |
Date of Deposit: |
2023-12-12 |
Holdings Information: |
https://doi.org/10.18419/darus-3845 |
Study Scope |
|
Keywords: |
Computer and Information Science, Decomposition of Time Series, Uncertainty Visualization and Related Techniques, Gaussian Process |
Abstract: |
In this supplemental material, we provide the appendix (mathematically exact propagation of uncertainty) and the video material for uncertainty-aware seasonal-trend decomposition based on loess (UASTL). This material complements the main document: The paper on Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess. |
Methodology and Processing |
|
Sources Statement |
|
Data Access |
|
Other Study Description Materials |
|
Related Publications |
|
Citation |
|
Title: |
Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. |
Identification Number: |
10.1109/TVCG.2024.3364388 |
Bibliographic Citation: |
Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. |
Label: |
original_figures_vector_graphics.zip |
Notes: |
application/zip |
Label: |
UASTL_Appendix.pdf |
Notes: |
application/pdf |
Label: |
UASTL_Video_material.pdf |
Notes: |
application/pdf |
Label: |
UASTL_Video_sensitivity_analysis.mp4 |
Notes: |
video/mp4 |
Label: |
UASTL_Video_sensitivity_analysis.srt |
Notes: |
application/x-subrip |