Interactive probing of multivariate time series prediction models: A case of freight rate analysis

Interactive probing of multivariate time series prediction models: A case of freight rate analysis

We present an interactive probing tool to create, modify and analyze what-if scenarios for multivariate time series models. The solution is applied to freight trading, where analysts can carry out sensitivity analysis on freight rates by changing demand and supply-related econometric variables and o...

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Bibliographic Details
Main Authors: XU, Haonan, LI, Haotian, WANG, Yong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
What-if Analysis
Multivariate Time Series Prediction
Human-centered Computing
Freight Rate Analysis
Numerical Analysis and Scientific Computing
Software Engineering
Transportation
Online Access:https://ink.library.smu.edu.sg/sis_research/6843
https://ink.library.smu.edu.sg/context/sis_research/article/7846/viewcontent/21_IEEEVIS_poster_probing.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/6843
https://ink.library.smu.edu.sg/context/sis_research/article/7846/viewcontent/21_IEEEVIS_poster_probing.pdf

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