Rigorous science is challenging and any study can be questioned. Deception is part of human nature and scientists are human, as are journalists and policymakers. We are too and must be careful not to trust a study just because we find it exciting, or because it comforts us or conforms to our beliefs.
Segmentation refers to many things, and is one of the most frequently used words in marketing This article looks at segmentation from a somewhat different-than-usual perspective.
Marketing data science - data science related to marketing - is now a significant part of marketing. Some of it directly competes with traditional marketing research and many marketing researchers may wonder what the future holds in store for it.
Marketing scientist Kevin Gray asks University of Missouri Professor Chris Wikle about Spatio-Temporal Statistics and how it can be used in science and business.
Every move we make, every breath we take, and every heartbeat is an effect that is caused. Even apparent randomness may just be something we cannot explain.
Judea Pearl has made noteworthy contributions to artificial intelligence, Bayesian networks, and causal analysis. These achievements notwithstanding, Pearl holds some views many statisticians may find odd or exaggerated.
Darrell Huff's classic How to Lie with Statistics is perhaps more relevant than ever. In this short article, I revisit this theme from some different angles.
Causation in a Nutshell
Want to Become a Data Scientist? Read This Interview First