Modeling Articles

Page 1 of 1 (4 articles)

6/19/2025 • EN

Included-variable bias

Explains the statistical concept of included-variable bias in regression models, challenging the traditional 'omitted-variable bias' framing.

Bia data analysis Modeling Regression statistics

Thomas Lumley

2/11/2021 • EN

Co-linearity

A statistical analysis of multicollinearity in regression models, discussing its impact on coefficient interpretation and prediction.

data analysis Modeling Multicollinearity Regression statistics

Thomas Lumley

10/31/2019 • EN

The secular Bayesian: Using belief distributions without really believing

A data scientist's journey from dogmatic Bayesianism to a pragmatic, 'secular' use of Bayesian tools without requiring belief in the model's literal existence.

Bayesian Inference Data Science Machine Learning Modeling statistics

Ferenc Huszár

9/14/2015 • EN

Good reasons for assuming a spherical cow

Explores valid reasons for using simplified assumptions like 'spherical cows' in statistical modeling and theoretical work.

Assumptions Computational Methods Modeling statistics Theory

Thomas Lumley

Modeling Articles

Included-variable bias

Co-linearity

The secular Bayesian: Using belief distributions without really believing

Good reasons for assuming a spherical cow

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