Bounded loss functions are types of loss functions in statistical modeling that have a predefined upper limit on the amount of loss that can be incurred. This characteristic prevents excessively large penalties for outliers and allows models to remain stable and less sensitive to extreme values, promoting robustness in statistical inference.
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