2003, Measurement, Statistics and Testing

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

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range. A single model may also not shed light on the uncertainty range we actually face.

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

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. We use the diagnostic test results of our regression model to support the reasons why CIs should not be used in financial data analyses.

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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