Most popular posts – 2021

Kind of sad, but the same intro which served last year, befits this year also.

Littered with Corona, this year was not easy. But looking around me, I feel grateful. The following quote by Socrates comes to mind:

“If all our misfortunes were laid in one common heap whence everyone must take an equal portion, most people would be content to take their own and depart.”

On topic, as with previous years I checked my website traffic-analytics. Without further ado here are the three most popular posts for 2021.

First:
Random forest importance measures are NOT important (14:36 minutes average time on page)
Second:
Beta in the tails (07:57 minutes average time on page)
Third:
Correlation and correlation structure (5) – a new coefficient of correlation (07:03 minutes average time on page)

By way of contrast, the lowest readers/effort ratio (lots of work and little notice taken) was the post How flexible neural networks really are?

My favorite post for the year was A new parameterization of correlation matrices.

On the left (scroll down) you can find the most popular posts from all previous years.

Thank you for reading, for sharing, for your emails, and for your corrections and comments.
Happy, healthy, corona-free, and productive 2022!


pic credit: Morvanic Lee

3 comments on “Most popular posts – 2021”

Leave a Reply

Your email address will not be published.