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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

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. For such distributions, parameter values based on historical data are bound to introduce errors into forecasts. Not even close. Nobels For Nonsense , by J.R.

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