Introduction Remember MCMC from our series on these algorithms? Good times. We wandered through probability space like tourists with outdated maps, occasionally stumbling upon the good parts of the posterior. Then came Hamiltonian Monte Carlo (HMC), which, let’s be honest, felt like finally getting a GPS. We could actually explore the posterior, using gradients to guide our journey. It was efficient! It was elegant!

Introduction Ever wondered how your brain manages to tell your hand to grab that slice of pizza before your roommate does?

This is a Draft Introduction The Immunological Challenge Let’s face it, the immune system is a bit of a drama queen (or king, depending on the situation). It’s constantly patrolling our bodies, acting as a vigilant security force , looking for trouble (like invading pathogens, damaged cells, or rogue cancer cells). When it finds something suspicious, it initiates a

Introduction The Immunological Challenge Let’s face it, the immune system is a bit of a drama queen (or king, depending on the situation). It’s constantly patrolling our bodies, acting as a vigilant security force , looking for trouble (like invading pathogens, damaged cells, or rogue cancer cells). When it finds something suspicious, it initiates a complex and tightly regulated

Introduction If you missed the first edition of this series of non-linear models posts, go see it now! The human brain is a show-off, really.

Introduction Let’s be honest, being a statistician or a scientist isn’t just about crunching numbers all day . It’s more like being a detective, a problem solver, and yeah, throwing in some math for good measure. When we get into non-linear models , things really start to get interesting. We’re not just drawing straight lines anymore;

Introduction Hey there, fellow science enthusiasts and stats geeks! Welcome back to the wild world of Markov Chain Monte Carlo (MCMC) algorithms. This is part two of my series on the powerhouse behind Bayesian Inference . If you missed the first post, no worries! Just hop on over here and catch up before we dive deeper into the MCMC madness.

Introduction Alright, folks, let’s dive into the wild world of statistics and data science! Picture this: you’re knee-deep in data, trying to make sense of the chaos.

Hello stranger First of all, welcome to the first post of “Bayesically Speaking” (which, in case you haven’t noticed, is a word play between “Basically Speaking” and the (hopefully) well-known Bayes’ theorem), and although the web is offline at the time of writing this article, I find myself following the advice of all those people who encouraged me to trust my instinct and dare to do what I have always wanted: to be able to