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Mohammad Shamsu Uddin
Mohammad Shamsu Uddin is a Theory of Investment Doctor graduate student, Faculty of Economics and Management, Dalian University of Technology, Dalian 116024, China. His research interest includes financial risk management, credit scoring, asset liability management, data mining, and artificial intelligence.
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Articles by Mohammad Shamsu Uddin
A hybrid model for credit risk assessment: empirical validation by real-world credit data
This paper examines which hybridization strategy is more suitable for credit risk assessment in the dynamic financial world.
An alternative statistical framework for credit default prediction
This study compares the gradient-boosting model with four other well-known classifiers, namely, a classification and regression tree (CART), logistic regression (LR), multivariate adaptive regression splines (MARS) and a random forest (RF).