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

• 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
• Institution: Singapore Management University

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...