A more descriptive term for the underlying probability model would be "independent feature model".

There were other probability models in the deep data.

In statistics, a linear probability model is a special case of a binomial regression model.

He is also an expert on applied probability models and dynamic programming.

Instead, one must "pitch" that model and think in terms of a less intuitive probability model.

Linear probability model, a regression model used in statistics.

So Inrix has developed probability models to predict where and when traffic problems may occur.

Quasi-likelihood has no role in Bayesian statistics, as this is based on a fully specified probability model for the data.

Lots of data about reliability growth model is available with probability models claiming to represent failure process.

Then he became interested in statistics and probability models.