The trinity of errors in financial models: An introductory analysis using TensorFlow Probability
O'Reilly on Data
JANUARY 22, 2019
Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below. All models, therefore, need to quantify the uncertainty inherent in their predictions. These factors lead to profound epistemic uncertainty about model parameters.
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