Blog

These posts have evolved from my digital garden1 into a bit longer form. Their main role is to educate myself and they may be incomplete, written from a very subjective point of view, or contain errors. I’d be grateful for feedback on how to improve them!

Date Title Description
Oct 29, 2024 A very subjective single-cell transcriptomics reading list I have barely done any research on single cells, but sometimes people ask me about literature recommendations. Here it is.
Oct 28, 2024 A probabilistic proof of the Stirling’s formula A short note on a beautiful new preprint.
Sep 22, 2024 How expressive are Bernoulli mixture models? Namely, a post on establishing bounds.
Sep 1, 2024 Non-reversible parallel tempering Markov chain got stuck in a single mode? Parallel tempering comes to help.
Aug 16, 2024 Estimating the mean vector Let’s estimate the mean vector from multivariate normal data.
Jul 15, 2024 How many distinct Ising models are over there? Essentially one. But some care is needed to count them properly.
Jul 11, 2024 Learning models with discrete Fisher divergence High-dimensional discrete models suffer from the issue with intractable normalising constants. A recent manuscript introducing discrete Fisher divergence helps to resolve this issue.
Jun 10, 2024 Adjoint group homomorphisms Adjoint functors are a core topic in category theory. As group homomorphisms are essentially functors, when do they form an adjunction?
May 13, 2024 Invariance of the mutual information and the profile We revisit the proof of mutual information invariance and generalize it to the pointwise mutual information profile.
Apr 14, 2024 On mixtures and admixtures A quick look at the differences between mixture and admixture models.
Apr 2, 2024 Proofs that pi and e are irrational Two short and well-known proofs of irrationality.
Mar 26, 2024 Softmax, mixtures and exponential families Let’s take a look at a sentence from the variational classification paper.
Feb 19, 2024 Beta-Bernoulli distribution Bernoulli, binomial, beta-binomial… Why don’t we talk about the beta-Bernoulli distribution?
Feb 12, 2024 Starting (on finite domains) with Gaussian processes Gaussian processes are wonderful. Let’s take a look at the machinery behind them in the simplest case: when they are just a multivariate normal distribution.
Feb 10, 2024 Setting up a new project repository From time to time I receive a question on setting up a new project repository. I’m not really qualified to answer this question, but I’ll do my best.
Feb 4, 2024 Regression to the mean and biased predictions We take a closer look at an example where adding some bias can help with making predictions.
Feb 2, 2024 From \(t\)-test to “This is what ‘power=0.06’ looks like” We take a close look at the derivation of the \(t\)-test and reproduce plots used by Andrew Gelman to show implications of low-powered studies.
Jan 27, 2024 Strict linear independence of measures We look at the concept of strict linear independce of measures and see how it is related to identifiability of mixture models.
Jan 26, 2024 From kernel regression to the transformer We’ll go from kernel regression to attention.
Jan 21, 2024 Expectation-maximization and Gibbs sampling in quantification Let’s analyse how to estimate how many cats and dogs can be found in an unlabeled data set.
Jan 19, 2024 An almost binomial Markov chain Everybody knows how to toss a coin. This time we’ll toss it a few times.
Nov 20, 2023 The mutual information saga Behind the scenes of our mutual information research.
Oct 14, 2023 Getting started with Bayesian statistics From time to time I receive a question from students and collaborators how to get started with Bayesian statistics. So here it comes: the list of my favourite resources!
Sep 28, 2023 The no free lunch theorem for scientific research A perfect paper should have novel methodology, solve an important problem, and be correct. In practice, the no free lunch theorem says that at most two of these are possible.
Aug 31, 2023 Two distributions on a triangle Sometimes if you misunderstand something, you can have two interesting distributions, rather than only one.
Aug 1, 2023 Histograms or kernel density estimators? We take a look at summarizing samples with histograms and kernel density estimators.
Jul 26, 2023 Matrix determinant from the exterior algebra viewpoint We look at the ordinary matrix determinant from the exterior algebra point of view.
Jul 11, 2023 The Dirichlet process In an informal fashion we introduce several constructions of the Dirichlet process.
Jul 9, 2023 Understanding board games with Monte Carlo simulations We look at several simple situations occurring in board games and analyse them with Monte Carlo simulations.
Jul 8, 2023 Student mentorship: expectations document I learned from one of my mentors that it’s important to discuss the mutual expectations of the mentorship, be it a PhD thesis or a lab rotation. This document serves as a template, which we can further discuss and adjust.
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Footnotes

  1. See this link for a difference. I maintain my digital garden in Obsidian. Please, let me know if you know a good way of integrating Obsidian with Quarto!↩︎