# Main page

I am an applied mathematician currently located in Turku, Finland. This is my personal homepage.

Who am I? The set of links below will hopefully tell something:

This site also contains a blog, which covers (will cover) several topics both serious and not-so-serious, whose only connecting theme is that I find them worth blogging about.

As of 2023-02-13, this site is live but also constantly updating am very lazy at updating it).

## Statistics and other links and thoughts, September-Mid October 2022

Here are some statistical and other links. The previous linkpost in this blog was in August, so I have achieved a streak of 2! Or almost 2, as it is already October 13. Let’s call it two positive observations in the series of 2.41 months. Laplace’s rule of succession would suggest that we have a…

No further introduction necessary: Here are some statistics links -> (Expect these links posts to be irregular in future. I am clearing my tabs.) Why do tree-based models still outperform deep learning on tabular data? Grinsztajn, Léo, Edouard Oyallon, and Gaël Varoquaux. arXiv, July 18, 2022. https://doi.org/10.48550/arXiv.2207.08815. Comment: The most interesting thing in the paper…

## Impromptu journal club: Sander Greenland and P-values behaving exactly as they should

For the past year, the blog has been on an unscheduled hiatus because I felt I have very little to say. But this afternoon I stumbled upon a good article by Sander Greenland from 2018 [1] which “rehabilitates” P-values somewhat in my eyes. Yes, I have used them in my work, but always felt a…

## Reading How to Measure Anything, interlude 2

(Summary in Finnish: Lukupiiri on päättynyt jo jokin aika sitten! Puhtaaksikirjoitetut oppimispäiväkirjamerkinnät ovat olleet tauolla ja palaavat joskus, toivottavasti pian.) Context: This is a quick interlude note in a series of learning diary notes, where I track my thoughts, comments, and (hopefully) learning process while reading How to Measure Anything by D. W. Hubbard together…

## Reading How to Measure Anything, interlude 1: Bayesian and frequentist inference

(Summary in Finnish: Oppimispäiväkirjamerkinnät jatkuvat hitaasti. Tässä lyhyt lukusuosituslinkki Bayes-päättelystä.) Context: This is a quick interlude note in a series of learning diary notes, where I track my thoughts, comments, and (hopefully) learning process while reading How to Measure Anything by D. W. Hubbard together with some friends in a book club setting. Previous parts…

## Reading How to Measure Anything, vol. 2

(Summary in Finnish: Oppimispäiväkirjamerkinnät jatkuvat, hitaasti mutta kumminkin. Aiheena luvut 3 ja 4; luvusta 3 löysin paljon sanottavaa kun aloin kirjoittamaan.) Context: This is a part in a series of reading / study diary notes where I track my thoughts, comments, and (hopefully) learning process while I am reading How to Measure Anything by D.…

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