Probit ("probability unit") regression is a classical machine learning technique that can be used for binary classification -- predicting an outcome that can only be one of two discrete values. For ...

Whenever I update The Capital Spectator Economic Trend Index (CS-ETI), as I did last week, someone usually asks how to interpret the data. In particular, how should we translate CS-ETI’s raw numbers ...

Everyone's been chatting about a recession recently. Some argue that most signs point to a slowdown. Others argue that there's no way, as other parts of the economy are still doing well. Wells Fargo ...

and is the normal probability function. This is the likelihood function for a binary probit model. This likelihood is strictly positive so that you can take a square root of and use this as your ...

In this example, two preparations, a standard preparation and a test preparation, are each given at several dose levels to groups of insects. The symptoms are recorded for each insect within each ...