Improving time series forecasting via nonlinear trend-adjusted tree-based models

Communications for Statistical Applications and Methods 2026 Open access

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Authors: Jimin Kim, Byeongchan Seong
DOI: 10.29220/csam.2026.33.1.031
Cited by: 0
References: 12

Fields of Study & Subjects

Forecasting Techniques and Applications Time Series Analysis and Forecasting Stock Market Forecasting Methods

Publication details

Journal / source
Communications for Statistical Applications and Methods
Volume
33
Issue
1
Pages
31–42
Publication date
30 January 2026
Language
EN