2015, Risk Management, Strategy and Uncertainty

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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Modeling Finance Uncertainty Data mining

Serving the Public Through Data

Cloudera

SEPTEMBER 29, 2021

In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. Governments need to ensure that a sound data strategy is at the core of their digital transformation journeys to reap its full benefits. .

Digital Transformation

Digital Transformation Data Governance Data-driven Uncertainty

Data Leaders Brief

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

Serving the Public Through Data

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