You may have misread the title as the old *correlation does not imply causation* mantra, but the opposite is also true! If you don’t believe me, read on…

Continue reading “Causation doesn’t imply Correlation *either*“

# Month: June 2019

## Causation doesn’t imply Correlation

## Understanding AdaBoost – or how to turn Weakness into Strength

Many of you might have heard of the concept “Wisdom of the Crowd”: when many people independently guess some quantity, e.g. the number of marbles in a jar glass, the average of their guesses is often pretty accurate – even though many of the guesses are totally off.

The same principle is at work in so-called *ensemble methods*, like *bagging* and *boosting*. If you want to know more about boosting and how to turn pseudocode of a scientific paper into valid R code read on…

Continue reading “Understanding AdaBoost – or how to turn Weakness into Strength”

## From Coin Tosses to p-Hacking: Make Statistics Significant Again!

One of the most notoriously difficult subjects in statistics is the concept of *statistical tests*. We will explain the ideas behind it step by step to give you some intuition on how to use (and misuse) it, so read on…

Continue reading “From Coin Tosses to p-Hacking: Make Statistics Significant Again!”

## Learning R: Permutations and Combinations with base R

The area of *combinatorics*, the art of systematic counting, is dreaded territory for many people, so let us bring some light into the matter: in this post we will explain the difference between *permutations* and *combinations*, with and without *repetitions*, will calculate the number of possibilities and present efficient R code to enumerate all of them, so read on…

Continue reading “Learning R: Permutations and Combinations with base R”