2003, Modeling, Testing and Uncertainty

Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast.

Forecasting

Forecasting Data Science Statistics Uncertainty

The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. For example, if a stock has a beta of 1.4

Statistics

Statistics Uncertainty Risk Marketing

Data Leaders Brief

Humans-in-the-loop forecasting: integrating data science and business planning

The trinity of errors in applying confidence intervals: An exploration using Statsmodels

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