Resources

https://www.youtube.com/watch?v=_tjaCHQqOa0 The purpose of this video is to make a case for the asymptotic normality of the total claim amount for an insurance company. This will involve giving a brief history of the Central Limit Theorem, explaining how it looks in...

https://www.youtube.com/watch?v=925bCP7qnHY The Explicable Precision series comes to an end by introducing the formulae, geometry, and application of piecewise linear functions. It will be shown that such functions rival the precision of xgboost and random forest...

https://www.youtube.com/watch?v=XvjFHJ__nUI To get a sense of what would occur in banking with respect to reserve ratios in an unregulated environment, EP's CEO created simulations and later mathematics to investigate this. Bob Murphy, one of the current belligerents...

https://youtu.be/grtJ_3Fxuqk This is the sixth video in the Explicable Precision series. The purpose of this video is to discuss how to think about distributional assumptions and where such assumptions have material implications.

https://www.youtube.com/watch?v=mgqoqMsBUc0 This is the fifth video in the Explicable Precision series. The purpose of this video is to discuss a way to group records in such a fashion that the average phenomenon in the group is increasing.

https://www.youtube.com/watch?v=U4MWjSy_1kE This is the fourth video in the Explicable Precision series. The purpose of this video is to illustrate the implementation of ideas concerning the probability integral transform and missing data from previous videos.

https://www.youtube.com/watch?v=VXV10Mwzyog This is the third video in the Explicable Precision series. The purpose of this video is to discuss a mathematically canonical way to attend to missing data in a project agnostic fashion. While an appeal to subject matter...

https://www.youtube.com/watch?v=zXXbYWn0Qe4 This is the second video in the Explicable Precision series. The purpose of this video is to discuss variable standardization in the context of Data Science. An uncommon, but not unknown method, the probability integral...

https://www.youtube.com/watch?v=3W5QIqzG9Jk A video series explaining how to create a predictive model which is simultaneously explicable and precise has launched. An introductory video and a video explaining a canonical variable standardization technique have been...

The functions used to construct explicable, precise models and an example illustrating their use have been publicly released through GitHub.