Estimating Product-Level Price Elasticities Using Hierarchical Bayesian
In this article, I will introduce you to hierarchical Bayesian (HB) modelling, a flexible approach to automatically combine the results ...
Read more
What Statistics Can Tell Us About NBA Coaches
as an NBA coach? How long does a typical coach last? And does their coaching background play any part in ...
Read more
How to Learn the Math Needed for Machine Learning
can be a scary topic for people. Many of you want to work in machine learning, but the maths skills ...
Read more
When Predictors Collide: Mastering VIF in Multicollinear Regression
In models, the independent variables must be not or only slightly dependent on each other, i.e. that they are not ...
Read more
Least Squares: Where Convenience Meets Optimality
0. Least Squares is used almost everywhere when it comes to numerical optimization and regression tasks in machine learning. It ...
Read more
One Turn After Another | Towards Data Science
While some games, like rock-paper-scissors, only work if all payers decide on their actions simultaneously, other games, like chess or ...
Read more
Method of Moments Estimation with Python Code
Let’s say you are in a customer care center, and you would like to know the probability distribution of the ...
Read more
The Method of Moments Estimator for Gaussian Mixture Models
Audio Processing is one of the most important application domains of digital signal processing (DSP) and machine learning. Modeling acoustic ...
Read more
The Gamma Hurdle Distribution | Towards Data Science
Which Outcome Matters? Here is a common scenario : An A/B test was conducted, where a random sample of units ...
Read more
