Not all relationships are linear, however. Some data describe relationships that are curved (such as polynomial relationships) while still other data cannot be parameterized. Mathematically ...

Connected TV (CTV) is now delivering dramatically superior returns compared to linear TV, while consuming far less budget, ...

The curve estimation procedure can be used to identify the nature of the functional relationships at play in your data, so you can choose the correct regression model, whether linear or nonlinear.

Lots of people are talking about addressable TV. “Data-driven linear,” though? Not so much. But despite the fact that data-driven linear (DDL) doesn’t get as much attention as its somewhat sexier ...

The disconnect between hard data (which capture measurable performance ... dependable indicators failed to deliver. Inverted yield curve, for instance, has a good historical track record of ...

TV content may be bundled into streaming services, but from the advertiser standpoint, the data is still not part of one simple package. Linear and connected TV advertising still rely on different ...

About 95 per cent of linear TV advertising impressions were served to just 55 per cent of viewers in Q4 2021, according to smart TV data from viewership company Samba TV across the UK, the US, ...

Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete (e.g. binary or frequency). What are GLMs? When should we use them? How GLM works.

Bloomberg's Cameron Crise discusses shifting trends in the yield curve's sensitivity to key data surprises.