INFLATION AND OUTPUT GROWTH FORECASTING IN A DATA-RICH ENVIRONMENT USING EXTREME GRADIENT BOOSTED TREES WITH ONLINE LEARNING

• Main Author: LIM KAI ZHUO
• Other Authors: ECONOMICS
• Format: Theses and Dissertations
• Published: 2021
• Subjects: Inflation forecasting; Output growth forecasting; Big data; eXtreme Gradient Boosting; Interpretable Machine learning; Inflation persistence
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/192024
• Institution: National University of Singapore

Bachelor's