Numerical and graphical diagnostic tools are presented for studying the effect of explanatory-variable measurement errors on regression results when very rough ...

Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach ...

Every time a multiplexed data-acquisition system switches channels, it produces a small electric charge that can produce measurement errors. “Users of data-acquisition equipment may have these ...

In many applications we can expect that, or are interested to know if, a density function or a regression curve satisfies some specific shape constraints. For example, when the explanatory variable, X ...

The entire ad industry is obsessed with retail media right now. But the channel’s got a bit of a measurement problem. (Sound familiar?) Retail media networks (RMNs) give brands that don’t have much ...

Retail media networks (RMNs) are rapidly growing, with advertisers investing billions of dollars into these platforms each year to consumers across the funnel. As retail media matures beyond search to ...

Quantum mechanics is a probabilistic theory that does not describe individual events. Yet when we perform a single measurement, we find a well-defined outcome. This apparent contradiction, known as ...