Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material (doi:10.18419/darus-3845)

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Part 2: Study Description
Part 5: Other Study-Related Materials
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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

Study Description

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.

Other Study-Related Materials

Label:

original_figures_vector_graphics.zip

Notes:

application/zip

Other Study-Related Materials

Label:

UASTL_Appendix.pdf

Notes:

application/pdf

Other Study-Related Materials

Label:

UASTL_Video_material.pdf

Notes:

application/pdf

Other Study-Related Materials

Label:

UASTL_Video_sensitivity_analysis.mp4

Notes:

video/mp4

Other Study-Related Materials

Label:

UASTL_Video_sensitivity_analysis.srt

Notes:

application/x-subrip